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<meta name="author" content="Guillermo Montero-Melis" />

<meta name="date" content="2019-07-06" />

<title>Replication of analyses reported in Montero-Melis &amp; Jaeger (2019) in BLC</title>

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) 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<h1 class="title toc-ignore">Replication of analyses reported in Montero-Melis &amp; Jaeger (2019) in <em>BLC</em></h1>
<h4 class="author"><em><a href="https://www.mpi.nl/people/montero-melis-guillermo">Guillermo Montero-Melis</a></em></h4>
<h4 class="date"><em>07/06/2019</em></h4>

</div>

<div id="TOC">
<ul>
<li><a href="#introduction"><span class="toc-section-number">1</span> Introduction</a></li>
<li><a href="#set-up-working-space"><span class="toc-section-number">2</span> Set up working space</a><ul>
<li><a href="#load-libraries"><span class="toc-section-number">2.1</span> Load libraries</a></li>
<li><a href="#convenience-functions"><span class="toc-section-number">2.2</span> Convenience functions</a></li>
<li><a href="#global-variables-for-figures"><span class="toc-section-number">2.3</span> Global variables for figures</a></li>
<li><a href="#load-data-and-set-up-data-frames-for-analyses"><span class="toc-section-number">2.4</span> Load data and set up data frames for analyses</a><ul>
<li><a href="#set-up-data-for-models-glmms-and-gamms"><span class="toc-section-number">2.4.1</span> Set up data for models (GLMMs and GAMMs)</a></li>
</ul></li>
</ul></li>
<li><a href="#participant-descriptors"><span class="toc-section-number">3</span> Participant descriptors</a><ul>
<li><a href="#as-reported-in-the-main-text-method-section"><span class="toc-section-number">3.1</span> As reported in the main text (Method section)</a></li>
<li><a href="#participant-information-reported-in-the-supplementary-online-information-s2"><span class="toc-section-number">3.2</span> Participant information reported in the Supplementary Online Information (S2)</a><ul>
<li><a href="#measures-of-l2-proficiency"><span class="toc-section-number">3.2.1</span> Measures of L2 proficiency</a></li>
<li><a href="#other-background-information"><span class="toc-section-number">3.2.2</span> Other background information</a></li>
</ul></li>
</ul></li>
<li><a href="#results-and-discussion"><span class="toc-section-number">4</span> Results and discussion</a><ul>
<li><a href="#baseline-condition-native-and-l2-speakers-lexical-preferences-in-the-absence-of-priming"><span class="toc-section-number">4.1</span> Baseline condition: Native and L2 speakers’ lexical preferences in the absence of priming</a><ul>
<li><a href="#set-up-data-set-for-glmm"><span class="toc-section-number">4.1.1</span> Set up data set for GLMM</a></li>
<li><a href="#reported-in-main-text"><span class="toc-section-number">4.1.2</span> Reported in main text</a></li>
<li><a href="#reported-in-supplementary-online-material"><span class="toc-section-number">4.1.3</span> Reported in Supplementary Online Material</a></li>
</ul></li>
<li><a href="#trial-by-trial-adaptation-of-native-speakers-question-1"><span class="toc-section-number">4.2</span> Trial-by-trial adaptation of native speakers (Question 1)</a><ul>
<li><a href="#set-up-data-frame"><span class="toc-section-number">4.2.1</span> Set up data frame:</a></li>
<li><a href="#gamm-specification-and-fitting"><span class="toc-section-number">4.2.2</span> GAMM specification and fitting</a></li>
<li><a href="#reported-in-main-text-1"><span class="toc-section-number">4.2.3</span> Reported in main text</a></li>
<li><a href="#reported-in-supplementary-online-material-1"><span class="toc-section-number">4.2.4</span> Reported in Supplementary Online Material</a></li>
</ul></li>
<li><a href="#trial-by-trial-adaptation-of-l2-learners-question-2"><span class="toc-section-number">4.3</span> Trial-by-trial adaptation of L2 learners (Question 2)</a><ul>
<li><a href="#set-up-data-frame-1"><span class="toc-section-number">4.3.1</span> Set up data frame:</a></li>
<li><a href="#gamm-specification-and-fitting-1"><span class="toc-section-number">4.3.2</span> GAMM specification and fitting</a></li>
<li><a href="#reported-in-main-text-2"><span class="toc-section-number">4.3.3</span> Reported in main text</a></li>
<li><a href="#reported-in-supplementary-online-material-2"><span class="toc-section-number">4.3.4</span> Reported in Supplementary Online Material</a></li>
</ul></li>
<li><a href="#effect-of-l2-proficiency-on-trial-by-trial-adaptation-question-3"><span class="toc-section-number">4.4</span> Effect of L2 proficiency on trial-by-trial adaptation (Question 3)</a><ul>
<li><a href="#data-and-processing"><span class="toc-section-number">4.4.1</span> Data and processing</a></li>
<li><a href="#gamm-fitting"><span class="toc-section-number">4.4.2</span> GAMM fitting</a></li>
<li><a href="#reported-in-main-text-3"><span class="toc-section-number">4.4.3</span> Reported in main text</a></li>
<li><a href="#reported-in-supplementary-online-material-3"><span class="toc-section-number">4.4.4</span> Reported in Supplementary Online Material</a></li>
</ul></li>
</ul></li>
<li><a href="#self-priming-appendix-s7"><span class="toc-section-number">5</span> Self-priming (Appendix S7)</a><ul>
<li><a href="#create-new-variable-selfproduction"><span class="toc-section-number">5.1</span> Create new variable <code>SelfProduction</code></a></li>
<li><a href="#q1-re-analysis"><span class="toc-section-number">5.2</span> Q1 re-analysis</a><ul>
<li><a href="#subset-data"><span class="toc-section-number">5.2.1</span> Subset data</a></li>
<li><a href="#model-with-self-priming-from-own-production-only"><span class="toc-section-number">5.2.2</span> Model with self-priming from own production only</a></li>
</ul></li>
<li><a href="#q2-re-analysis"><span class="toc-section-number">5.3</span> Q2 re-analysis</a><ul>
<li><a href="#subset-data-1"><span class="toc-section-number">5.3.1</span> Subset data</a></li>
<li><a href="#model-with-self-priming-in-production-only"><span class="toc-section-number">5.3.2</span> Model with self-priming in production only</a></li>
</ul></li>
<li><a href="#q3-re-analysis"><span class="toc-section-number">5.4</span> Q3 re-analysis</a><ul>
<li><a href="#model-with-self-priming-in-production-only-1"><span class="toc-section-number">5.4.1</span> Model with self-priming in production only</a></li>
</ul></li>
</ul></li>
<li><a href="#session-info"><span class="toc-section-number">6</span> Session info</a></li>
</ul>
</div>

<div id="introduction" class="section level1">
<h1><span class="header-section-number">1</span> Introduction</h1>
<p>This knitr document accompanies the paper</p>
<p>Montero-Melis, G., &amp; Jaeger, T. F. (2019). Changing expectations mediate adaptation in L2 production. Submitted to <em>Bilingualism: Language and Cognition</em></p>
<p>For details about the paper, please refer to the main text and the Supplementary Online Material. For details about how this report was generated, see the README file.</p>
</div>
<div id="set-up-working-space" class="section level1">
<h1><span class="header-section-number">2</span> Set up working space</h1>
<div id="load-libraries" class="section level2">
<h2><span class="header-section-number">2.1</span> Load libraries</h2>
<pre class="r"><code>library(dplyr)
packageVersion(&#39;dplyr&#39;)</code></pre>
<pre><code>## [1] &#39;0.8.0.1&#39;</code></pre>
<pre class="r"><code>library(tidyr)  # useful for gather() to convert from wide to long
packageVersion(&#39;tidyr&#39;)</code></pre>
<pre><code>## [1] &#39;0.8.3&#39;</code></pre>
<pre class="r"><code>library(mgcv)  # GAMs and GAMMs (Wood 2006)
packageVersion(&#39;mgcv&#39;)</code></pre>
<pre><code>## [1] &#39;1.8.26&#39;</code></pre>
<pre class="r"><code>library(itsadug)
packageVersion(&#39;itsadug&#39;)  # Visualizing GAMMs</code></pre>
<pre><code>## [1] &#39;2.3&#39;</code></pre>
<pre class="r"><code>library(lme4)
packageVersion(&#39;lme4&#39;)</code></pre>
<pre><code>## [1] &#39;1.1.20&#39;</code></pre>
<pre class="r"><code>library(ggplot2)
packageVersion(&#39;ggplot2&#39;)</code></pre>
<pre><code>## [1] &#39;3.1.0&#39;</code></pre>
<pre class="r"><code>library(GGally)  # for ggpairs()
packageVersion(&#39;GGally&#39;)</code></pre>
<pre><code>## [1] &#39;1.4.0&#39;</code></pre>
<pre class="r"><code>library(arm)  # used in script &quot;plot_glmm_fnc.R&quot;
packageVersion(&#39;arm&#39;)</code></pre>
<pre><code>## [1] &#39;1.10.1&#39;</code></pre>
<pre class="r"><code>library(knitr)  # for kable()
packageVersion(&#39;knitr&#39;)</code></pre>
<pre><code>## [1] &#39;1.21&#39;</code></pre>
<pre class="r"><code># Make sure you are in the folder where all the scripts and data are located,
# otherwise the script won&#39;t run.
getwd()</code></pre>
<pre><code>## [1] &quot;C:/Users/gumo8029/Documents/git-repos/2018_L2_motion_lexicalisation_priming/1901_data-script-sharing&quot;</code></pre>
</div>
<div id="convenience-functions" class="section level2">
<h2><span class="header-section-number">2.2</span> Convenience functions</h2>
<p>Because some models take a long time to fit, we use the self-mande convenience function <code>load_or_fit</code>. This function first checks whether a model with a given name already exists as a <code>.rda</code> file in the subfolder <code>fitted_models/</code>. If it does, it loads it, otherwise it fits it and saves it to that folder.</p>
<pre class="r"><code># Source function used to load models if they have already been saved, rather
# than fitting them anew each time the script is called.
source(&quot;load_or_fit_fnc.R&quot;)
# This function expects a subfolder &quot;fitted_models/&quot;; create it
dir.create(file.path(&quot;fitted_models/&quot;))</code></pre>
<pre><code>## Warning in dir.create(file.path(&quot;fitted_models/&quot;)): &#39;fitted_models&#39; already
## exists</code></pre>
<pre class="r"><code># Create subfolder to save figures
dir.create(file.path(&quot;myfigures/&quot;))</code></pre>
<pre><code>## Warning in dir.create(file.path(&quot;myfigures/&quot;)): &#39;myfigures&#39; already exists</code></pre>
<p>Format table for GLMM output</p>
<pre class="r"><code># create a neat table of the summary of fixed effects of a mixed model  
glmm_tb &lt;- function(fm) {   
  m &lt;- round(summary(fm)$coefficients, 3)   
  tb &lt;- as.data.frame(m)    
  names(tb) &lt;- c(&quot;Estimate&quot;, &quot;SE&quot;, &quot;z-value&quot;, &quot;p-value&quot;)    
  kable(tb) 
}   </code></pre>
<p>Plot GLMM estimates (baseline condition):</p>
<pre class="r"><code># Function that plots mixed model-estimates in logit space from baseline
# conditions, including speaker estimates
source(&quot;plot_glmm_fnc.R&quot;)</code></pre>
<p>Plot GAMM estimates:</p>
<pre class="r"><code># Two functions to a) plot adaptation effects for native and L2 speakers from
# GAMMs, and b) plot the effects by L2 speakers&#39; proficiency.
source(&quot;plot_gams_fnc.R&quot;)</code></pre>
</div>
<div id="global-variables-for-figures" class="section level2">
<h2><span class="header-section-number">2.3</span> Global variables for figures</h2>
<pre class="r"><code># adjust figure heght/width when not going with default (espec. for 2x2 plots)
myfighe_NS_L2 &lt;- 6
myfighe_L2_prof &lt;- 6
myfigwi &lt;- 7</code></pre>
</div>
<div id="load-data-and-set-up-data-frames-for-analyses" class="section level2">
<h2><span class="header-section-number">2.4</span> Load data and set up data frames for analyses</h2>
<pre class="r"><code># load data
d &lt;- read.csv(&#39;data.csv&#39;, fileEncoding = &#39;UTF-8&#39;, stringsAsFactors = TRUE)
# Make sure Subject is a factor
d$Subject &lt;- factor(d$Subject)
# in Group, let the native speakers (NS) be the reference group
d$Group &lt;- factor(d$Group, levels = c(&#39;NS&#39;, &#39;L2&#39;))
head(d, 3)</code></pre>
<pre><code>##   Subject Group Condition Trial  VideoName P_V M_V ClozeScore zClozeScore
## 1       1    L2    Manner     1 trd_brocol   1   0         29   0.5578223
## 2       1    L2    Manner     2 tgm_sacdun   0   1         29   0.5578223
## 3       1    L2    Manner     3 trd_bronei   1   0         29   0.5578223
##   cClozeScore PathPrimeV MannerPrimeV
## 1    4.508475       baja      tira de
## 2    4.508475       sube     arrastra
## 3    4.508475       baja      tira de</code></pre>
<pre class="r"><code># load participant information 
# NB: Accidentally, no audio data was recorded for Subject 14 (L2), so this
# participant is omitted from all participant descriptors as well.
ppts &lt;- read.csv(&quot;participant-info.csv&quot;, fileEncoding = &quot;UTF-8&quot;, 
                 stringsAsFactors = TRUE)
head(ppts, 3)</code></pre>
<pre><code>##   Subject Group Condition Gender Age ClozeScore L2_SelfRating L2_AoO
## 1  NS_150    NS    Manner female  20         NA            NA     NA
## 2  NS_151    NS   Control female  20         NA            NA     NA
## 3  NS_152    NS   Control   male  20         NA            NA     NA
##   L2_instruction_years VocabTaskAcc
## 1                   NA           NA
## 2                   NA           NA
## 3                   NA           NA</code></pre>
<pre class="r"><code>tail(ppts, 3)  # L2 proficiency-related variables only available for L2ers</code></pre>
<pre><code>##     Subject Group Condition Gender Age ClozeScore L2_SelfRating L2_AoO
## 116      58    L2    Manner female  22         31             4     11
## 117      59    L2   Control female  32         36             6     16
## 118      60    L2    Manner   male  73         34             6     17
##     L2_instruction_years VocabTaskAcc
## 116                   11        0.962
## 117                    4        1.000
## 118                    5        1.000</code></pre>
<div id="set-up-data-for-models-glmms-and-gamms" class="section level3">
<h3><span class="header-section-number">2.4.1</span> Set up data for models (GLMMs and GAMMs)</h3>
<p>We will do two things:</p>
<ol style="list-style-type: decimal">
<li>In each model, we want to allow for two comparisons: a) Path verb use in the Baseline condition vs Path verb use in the Path-primed condition, and b) Manner verb use in the Baseline condition vs Manner verb use in the Manner-primed condition.</li>
<li>In addition, we want to define the correct data type and coding schemes for the different factors.</li>
</ol>
<pre class="r"><code># Convert data to long format: each description will now have two rows, one for
# each value of VerbType (P_V = Path verb; M_V = Manner verb); note that these
# two rows were previously two different columns showing whether what was 
# encoded in the main verb in a given description encoded was path, manner,
# both or neither (see data frame d above).
d_long &lt;- gather(d, VerbType, Used, P_V : M_V)

# Create copy of long data set, which we will further process for model fitting
d_mod &lt;- d_long

# Combine VerbType (Path/Manner) and Condition (baseline/primed) into a single
# factor -- this is needed for the GAMMs. (The way to analyze crossed factors
# is to combine their levels into a single factor, see Wood&#39;s comment here:
# http://grokbase.com/t/r/r-help/113qaadxt4/r-how-to-add-in-interaction-terms-in-gamm)
d_mod$VbType_Cond &lt;- with(d_mod, interaction(VerbType, Condition))  

# In order to make the relevant comparisons (see point 1 here above), baseline
# participants have to be compared twice, once for their path verb use to path-
# primed participants, once for their manner verb use to manner-primed 
# participants. This means that each of the two rows defined by VerbType will
# be used in one of the comparisons. The following renaming allows us to
# fit random by-subject smooths for each of those comparisons:
d_mod$Subject &lt;- with(d_mod, interaction(Subject, VerbType))    

# Subset data for model fitting:
# We remove observations that   contain irrelevant comparisons given our research
# question, namely those that correspond to path verbs produced in the manner-
# primed condition or to manner verbs produced in the path-primed condition.
d_mod &lt;- d_mod %&gt;% dplyr::filter(! VbType_Cond %in% c(&quot;P_V.Manner&quot;, &quot;M_V.Path&quot;))
# drop unused factor levels and order levels correctly
d_mod$VbType_Cond &lt;- factor(d_mod$VbType_Cond, 
                            levels = c(&quot;P_V.Baseline&quot;, &quot;P_V.Path&quot;, &quot;M_V.Baseline&quot;,
                                       &quot;M_V.Manner&quot;))
# drop unused factors for subject (important for random effects estimation)
d_mod$Subject &lt;- factor(d_mod$Subject)
# Condition recoded as a binary factor (Path/Manner become &quot;Primed&quot;)
d_mod$Condition_bin &lt;- d_mod$Condition
levels(d_mod$Condition_bin)[levels(d_mod$Condition_bin) %in% c(&quot;Path&quot;, &quot;Manner&quot;)] &lt;- &quot;Primed&quot;   </code></pre>
<p>Coding scheme for factors:</p>
<pre class="r"><code># define factor coding scheme (contrast coding)
# group
contrasts(d_mod$Group) &lt;- - contr.sum(2)
colnames(contrasts(d_mod$Group)) &lt;- &quot;L2_vs_NS&quot;
contrasts(d_mod$Group)</code></pre>
<pre><code>##    L2_vs_NS
## NS       -1
## L2        1</code></pre>
<pre class="r"><code># Verb type
d_mod$VerbType &lt;- factor(d_mod$VerbType)
contrasts(d_mod$VerbType) &lt;- contr.sum(2)
colnames(contrasts(d_mod$VerbType)) &lt;- &quot;M_vs_P&quot;
contrasts(d_mod$VerbType)</code></pre>
<pre><code>##     M_vs_P
## M_V      1
## P_V     -1</code></pre>
<pre class="r"><code># Condition_bin contrast coding 
contrasts(d_mod$Condition_bin) &lt;- - contr.sum(2)
colnames(contrasts(d_mod$Condition_bin)) &lt;- &quot;Primed_vs_Baseline&quot;    
contrasts(d_mod$Condition_bin)  </code></pre>
<pre><code>##          Primed_vs_Baseline
## Baseline                 -1
## Primed                    1</code></pre>
<p>Show data frame</p>
<pre class="r"><code>head(d_mod)</code></pre>
<pre><code>##   Subject Group Condition Trial  VideoName ClozeScore zClozeScore
## 1   2.P_V    L2  Baseline     1 prd_balcol         12   -1.545545
## 2   2.P_V    L2  Baseline     2 trm_voidun         12   -1.545545
## 3   2.P_V    L2  Baseline     3 prd_balnei         12   -1.545545
## 4   2.P_V    L2  Baseline     4 tge_chamai         12   -1.545545
## 5   2.P_V    L2  Baseline     5 trt_pourou         12   -1.545545
## 6   2.P_V    L2  Baseline     6 tgd_malcol         12   -1.545545
##   cClozeScore PathPrimeV MannerPrimeV VerbType Used  VbType_Cond
## 1   -12.49153       baja        rueda      P_V    1 P_V.Baseline
## 2   -12.49153       sube      tira de      P_V    0 P_V.Baseline
## 3   -12.49153       baja        rueda      P_V    1 P_V.Baseline
## 4   -12.49153   entra en     arrastra      P_V    1 P_V.Baseline
## 5   -12.49153      cruza      tira de      P_V    1 P_V.Baseline
## 6   -12.49153       baja     arrastra      P_V    1 P_V.Baseline
##   Condition_bin
## 1      Baseline
## 2      Baseline
## 3      Baseline
## 4      Baseline
## 5      Baseline
## 6      Baseline</code></pre>
<pre class="r"><code>str(d_mod)</code></pre>
<pre><code>## &#39;data.frame&#39;:    5040 obs. of  14 variables:
##  $ Subject      : Factor w/ 158 levels &quot;1.M_V&quot;,&quot;10.M_V&quot;,..: 89 89 89 89 89 89 89 89 89 89 ...
##  $ Group        : Factor w/ 2 levels &quot;NS&quot;,&quot;L2&quot;: 2 2 2 2 2 2 2 2 2 2 ...
##   ..- attr(*, &quot;contrasts&quot;)= num [1:2, 1] -1 1
##   .. ..- attr(*, &quot;dimnames&quot;)=List of 2
##   .. .. ..$ : chr  &quot;NS&quot; &quot;L2&quot;
##   .. .. ..$ : chr &quot;L2_vs_NS&quot;
##  $ Condition    : Factor w/ 3 levels &quot;Baseline&quot;,&quot;Manner&quot;,..: 1 1 1 1 1 1 1 1 1 1 ...
##  $ Trial        : int  1 2 3 4 5 6 7 8 9 10 ...
##  $ VideoName    : Factor w/ 32 levels &quot;pgd_valcol&quot;,&quot;pgd_valnei&quot;,..: 9 29 10 20 31 17 8 13 25 14 ...
##  $ ClozeScore   : int  12 12 12 12 12 12 12 12 12 12 ...
##  $ zClozeScore  : num  -1.55 -1.55 -1.55 -1.55 -1.55 ...
##  $ cClozeScore  : num  -12.5 -12.5 -12.5 -12.5 -12.5 ...
##  $ PathPrimeV   : Factor w/ 4 levels &quot;baja&quot;,&quot;cruza&quot;,..: 1 4 1 3 2 1 2 4 1 4 ...
##  $ MannerPrimeV : Factor w/ 4 levels &quot;arrastra&quot;,&quot;empuja&quot;,..: 3 4 3 1 4 1 2 3 4 3 ...
##  $ VerbType     : Factor w/ 2 levels &quot;M_V&quot;,&quot;P_V&quot;: 2 2 2 2 2 2 2 2 2 2 ...
##   ..- attr(*, &quot;contrasts&quot;)= num [1:2, 1] 1 -1
##   .. ..- attr(*, &quot;dimnames&quot;)=List of 2
##   .. .. ..$ : chr  &quot;M_V&quot; &quot;P_V&quot;
##   .. .. ..$ : chr &quot;M_vs_P&quot;
##  $ Used         : int  1 0 1 1 1 1 1 1 1 1 ...
##  $ VbType_Cond  : Factor w/ 4 levels &quot;P_V.Baseline&quot;,..: 1 1 1 1 1 1 1 1 1 1 ...
##  $ Condition_bin: Factor w/ 2 levels &quot;Baseline&quot;,&quot;Primed&quot;: 1 1 1 1 1 1 1 1 1 1 ...
##   ..- attr(*, &quot;contrasts&quot;)= num [1:2, 1] -1 1
##   .. ..- attr(*, &quot;dimnames&quot;)=List of 2
##   .. .. ..$ : chr  &quot;Baseline&quot; &quot;Primed&quot;
##   .. .. ..$ : chr &quot;Primed_vs_Baseline&quot;</code></pre>
</div>
</div>
</div>
<div id="participant-descriptors" class="section level1">
<h1><span class="header-section-number">3</span> Participant descriptors</h1>
<div id="as-reported-in-the-main-text-method-section" class="section level2">
<h2><span class="header-section-number">3.1</span> As reported in the main text (Method section)</h2>
<p>Number of participants by group:</p>
<pre class="r"><code># Number of participants by group that go into the analysis (note data for
# one L2 speaker is missing because of recording failure)
table(ppts$Group)</code></pre>
<pre><code>## 
## L2 NS 
## 59 59</code></pre>
<p>Participant age:</p>
<pre class="r"><code># age
ppts %&gt;%
  group_by(Group) %&gt;%
  summarise(Mage = mean(Age, na.rm = T), SDage = sd(Age, na.rm = T))</code></pre>
<pre><code>## # A tibble: 2 x 3
##   Group  Mage SDage
##   &lt;fct&gt; &lt;dbl&gt; &lt;dbl&gt;
## 1 L2     35.9 13.7 
## 2 NS     21.6  1.91</code></pre>
<p>Learners’ age of onset for learning Spanish</p>
<pre class="r"><code># Mean and SD
ppts %&gt;%
  dplyr::filter(Group == &quot;L2&quot;) %&gt;%
  summarise(M  = round(mean(L2_AoO, na.rm = TRUE), 2), 
            SD = round(sd(L2_AoO, na.rm = TRUE), 2))</code></pre>
<pre><code>##       M   SD
## 1 18.34 8.57</code></pre>
<pre class="r"><code># range
range(ppts$L2_AoO, na.rm = TRUE)</code></pre>
<pre><code>## [1]  6.5 63.0</code></pre>
<p>Scores on offline cloze test (‘proficiency score’):</p>
<pre class="r"><code># Cloze scores
round(mean(ppts$ClozeScore, na.rm=T), 1)</code></pre>
<pre><code>## [1] 24.5</code></pre>
<pre class="r"><code>round(sd(ppts$ClozeScore, na.rm=T), 1)</code></pre>
<pre><code>## [1] 8.1</code></pre>
<pre class="r"><code># By condition
ppts %&gt;% 
  dplyr::filter(Group == &quot;L2&quot;) %&gt;% 
  group_by(Condition) %&gt;%
  summarise(M_profic = mean(ClozeScore), 
            SD = sd(ClozeScore))</code></pre>
<pre><code>## # A tibble: 3 x 3
##   Condition M_profic    SD
##   &lt;fct&gt;        &lt;dbl&gt; &lt;dbl&gt;
## 1 Control       24.4  8.23
## 2 Manner        25.1  8.79
## 3 Path          23.8  7.43</code></pre>
<p>Difference in L2 proficiency across conditions (one-way ANOVA):</p>
<pre class="r"><code># one-way ANOVA
ppts %&gt;% 
  dplyr::filter(Group == &quot;L2&quot;) %&gt;%
  aov(ClozeScore ~ Condition, data = .) %&gt;%
  summary</code></pre>
<pre><code>##             Df Sum Sq Mean Sq F value Pr(&gt;F)
## Condition    2     18    9.06   0.135  0.874
## Residuals   56   3771   67.33</code></pre>
<p>Computerized vocabulary task, which was deliberately easy (see main text). (Data for this task is missing from one participant due to experimenter error.)</p>
<pre class="r"><code># Scores on vocabulary task
round(mean(ppts$VocabTaskAcc, na.rm=T), 3)</code></pre>
<pre><code>## [1] 0.974</code></pre>
<pre class="r"><code>round(sd(ppts$VocabTaskAcc, na.rm=T), 4)</code></pre>
<pre><code>## [1] 0.0495</code></pre>
<pre class="r"><code># By condition
ppts %&gt;% 
  dplyr::filter(Group == &quot;L2&quot;) %&gt;% 
  group_by(Condition) %&gt;%
  summarise(M_profic = mean(VocabTaskAcc, na.rm = TRUE), 
            SD = sd(VocabTaskAcc, na.rm = TRUE))</code></pre>
<pre><code>## # A tibble: 3 x 3
##   Condition M_profic     SD
##   &lt;fct&gt;        &lt;dbl&gt;  &lt;dbl&gt;
## 1 Control      0.972 0.0713
## 2 Manner       0.973 0.0325
## 3 Path         0.977 0.0398</code></pre>
</div>
<div id="participant-information-reported-in-the-supplementary-online-information-s2" class="section level2">
<h2><span class="header-section-number">3.2</span> Participant information reported in the Supplementary Online Information (S2)</h2>
<div id="measures-of-l2-proficiency" class="section level3">
<h3><span class="header-section-number">3.2.1</span> Measures of L2 proficiency</h3>
<p>Distribution of Cloze scores</p>
<pre class="r"><code>ppts %&gt;% dplyr::filter(Group == &quot;L2&quot;) %&gt;%
  ggplot(aes(x = ClozeScore, colour = Condition)) +
  geom_density() +
  geom_rug() +
  facet_grid(Condition ~ .) +
  theme_bw()</code></pre>
<p><img 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" width="480" /></p>
<p>Numerical summaries of L2 variables potentially related to L2 proficiency:</p>
<pre class="r"><code>ppts %&gt;% dplyr::filter(Group == &quot;L2&quot;) %&gt;% 
  dplyr::select(ClozeScore, L2_SelfRating, L2_AoO, L2_instruction_years, VocabTaskAcc) %&gt;%
  summary</code></pre>
<pre><code>##    ClozeScore    L2_SelfRating       L2_AoO      L2_instruction_years
##  Min.   : 3.00   Min.   :4.000   Min.   : 6.50   Min.   : 0.000      
##  1st Qu.:20.00   1st Qu.:4.000   1st Qu.:13.00   1st Qu.: 1.125      
##  Median :26.00   Median :5.000   Median :16.00   Median : 4.500      
##  Mean   :24.49   Mean   :4.881   Mean   :18.34   Mean   : 4.544      
##  3rd Qu.:30.00   3rd Qu.:6.000   3rd Qu.:20.00   3rd Qu.: 7.000      
##  Max.   :36.00   Max.   :7.000   Max.   :63.00   Max.   :20.000      
##                                  NA&#39;s   :1                           
##   VocabTaskAcc   
##  Min.   :0.6920  
##  1st Qu.:0.9620  
##  Median :1.0000  
##  Mean   :0.9736  
##  3rd Qu.:1.0000  
##  Max.   :1.0000  
##  NA&#39;s   :1</code></pre>
<p>Correlation between different L2-related measures that were collected:</p>
<pre class="r"><code>my_dens &lt;- function(data, mapping, ...) {
  ggplot(data = data, mapping=mapping) +
    geom_density(..., alpha = 0.7) 
}
# Improved correlation matrix with ggpairs
ppts %&gt;% 
  dplyr::filter(Group == &quot;L2&quot;) %&gt;% 
  dplyr::select(ClozeScore, L2_SelfRating, L2_AoO, L2_instruction_years, VocabTaskAcc,
                Condition) %&gt;%
  GGally::ggpairs(
    mapping=ggplot2::aes(color = Condition),
    diag = list(continuous = my_dens),
    upper = list(continuous = wrap(&#39;cor&#39;, method = &quot;spearman&quot;, size = 2.75, hjust=0.8)),
    lower=list(continuous=&quot;smooth&quot;)
    ) +
  # removes grid from correlations but not from other panels:
  theme(panel.grid.major = element_blank())</code></pre>
<pre><code>## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.</code></pre>
<p><img 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2aqAwr7wsHHdd0oev3oCP4/7S15iwVHz6ocLyIi6leDlo8X7sfJNuhA/g8oL7Hj5Prv/h5xPjli3mp+wuxu3aQTY8RM/YkU5DlLFz+p3tfKVzGer3W9PADoJiQQ0XWaXH5I1tKGOYONbZ+2RHaenMLpbA6oUj5TTiKRyE6LYzsHtvn7coUpss22lackgl+tNprYHIsZOWG/87W7TusHIqo2uiVodleDW0Y1NVKSQFm7di1f8TqRn0/7Cg12GwtOn1UtXoJftSxEyYxadr4NOpWfA8r7fcTJ9d/FPeL8wQ3mrSahqQdOVMjVoxN1YIyYqT8tsaUgz6klRrcEC7OcVftamYPPjSjB0fzyMmX7AQAUW9bqBjRK3deibbvFbavqsFfk/OU07YUb95xRXl/v+Ygd9gHVJjdPTr4nunZw12ldNgRHtRd/e35XvoOqHjjSsvIKcyGIyInKX9DO//a9d0pSG9o77+nnhZwhirTJae9Z9XhZ+w/fV0c1bTS4QU5kprI6nzy4fUvheitOtgGk8wOqAlVVRTRN00a3bH/vwJF4R7041E97xIg5b4UaOfCTxzOlk5lrvja6/eA/5JrupK+ljY5qoh4ouXcU7wcAUKhjE4j1XRK+t7fXV2vM167DXpGTl5OrBGz+C/dwRM8fUJulHbX3dBEHfTSbn9AzqYOinVSaVbuhMgtBVBqLaW4VHNVEjZzIzm1vdlgTW4Jygll3uoM/T/vkiFK8nGukoSeks3hZu+vIgReDo5o2uiU4mntUjUQkkSsZcbINOpk/A8o/1u46fXqXiIicT44EtyRGgxLiZtNdOitGBuOGES96pDzL6biv5ShbCgDIYQgzukuTxy+zFrM9c4hKpTUOzifPOxtFUveFEsxBkeXz75g/e1vLjJjURoNKTnA0/9BIMr9VyaJ/5oqxkvgPRs10PD+f9pa8xIKTZzmLFzHHoZ04kFtmtmDViPzANyfboCP5OaC8xU5DscRsF+qaGMnMemjuzUFfy3xjrLOlzJ8LALZIIKIrkMLzn/IazYQAACAASURBVKrruB7cviXobCaaBv0QXtZXzsxFXktKwmbGHzqs3cLHp705XVWBghoNb7FQrwhaO7grfjrTqNPxXYNrze+GRW+Ak23QeXwcUBmNuI/UovoMjOgs3Rkj9LUAoFFIIKKLNLn8sBAZzHL5NfIs+q2Zibyzvw1XXCeh/t/ErDvcmaPZzEW+dtdpo5R+QBURc6LxgmxM814IfMfHp32l9rqKBSfPchgvyRGlsByxaD/ZN8DJNuhUPg4ob7FTL5ZhQWB0o46LEZtzO/nz0ZJGVn4h2ffl50n7bQAAZUggovO1NnnXwqyl363ddeSAKqKNBjeMHEzmunnnzydHNpiDGSM/yUxBk+3oBTfkNjyfNGe4acg3sdzxRvKHG6nH0Qa/FxERbXT7yMHsmKHz5w+ObG/UC4Hv+Pi0t26vp1ioVwSZAZPYMlL2BuTeJUfboGP5OKAadh9xIhsWG3IHb8HVA77QaTFieW6PbNiSKHglTvpaa3f9pHRH3DwAoCoSiOgWJPJ8aO2uIyciqoiWGN2SmwotGNyS0EQkcqJgeYVMB1i03IZBc5VVLwsBmj9fVxyxkz1eIn+4RNnRHOynzGBcP2C+4mB2z8HRhNZ5q37Cln9Pe7vmeogFR89yYPDx0t2MmouEFpT0OtkGncu/AdWw+4gTuXtN7k3JvNjICe413abDYmQwnnk1Bed2ouSi76ivVbajXIxw8wAAOyQQ0eH8M3bYPy3xk7WD8dO6fiKiqvl5mVQ1cuCEbuSnvja33HXa0E9E8tupauSEbpxu1DehknUZMgsz1OFo2R0XvpA67Rptwr+nvXVzPcVCnSJo7a7TxW+AxW6cbIMO5t+Aath9xMvBMy+25C1BV+iwGBmMF1/zrZ7lqK9VuqNsjNTyigCgsymGYbS6DQ1x9erVOu6tt7e3vjtsuQ57RRVejpm2a3n5odtmeP6Aent7PTwLAAAAAJrJV19Iw+GwiKRSqVY3pBl4sa31ySeftLoJeaFQyPnGyxrXDqAldv+6KIP2kJwRkd3zIiL77/PRLQoAAAAAAKAtkEBE5yhJHdptQBoRAAAAAOBzZvVce+3cV7V+qC8SiOgE//yfIpLPHuZShLmBw4W5xd2/7m1VDvHLb3635YOpAQAAAAA+19DsYeOEw2FyiJ2KBCLaXi45WJIWLFy0xPxTbsvCHOJf/Xxv+T4/fXxPfRv5p2/8hkVUAAAAAADOnf2/X2h1E1y4618/b3UT0EAkENHe7LKHOYUVf/vvu1qYQ3x27lG73ZpZxbqnEQEAAAAAANoOCUS0sVw28L/+RUqW8LIr9yssRXw49PSzc4+WZwlzNYmNSCMyihkAAAAAALQXEohoS4VzGu6/72rhBIiFylN1Zk7wWZGHQ0+LyMOhp/dLaemimTGsexqRUcwAAAAAUIu2W1eECQHRMW5odQMA7/bfd9Vy5LJdni6XE/z08T25J9qt3fzp43sKk4aWUyUCAAAAAJqjHdcVacc2A5aoQET7sUv5lSgpPyzMHpbv0G4KxU8f31NYiliX4cyMYgYAAAAAb05/S211E5za8Hut1U0A6oYKRLSZqqumlJcf/tXP91pmD+32UKKOdYjkDQEAAAAAQNshgYh2UjV7mJNL1RWmDsvrB6sOZM49N/dvxjIDAAAAAICuQgIRbcN59jCnwrDlnJbkEFlNBQAAAAAAtAsSiGgPDrOHlom5qhMXehjL7BmjmAEAAAAAQHshgYh24jDTZybpPNQJVl2eJZdDZCAzAAAAAADoEqzCjDbgcNnlwvJDJ4OXC+2/76p5lAorMud2aO68xkWZWYsZAAAAAFDBXf/6eaubAGRQgQi/czv14Z++8Ru32UO3aqxDJG8IAAAAAADaCAlE+Jrz7GGu/NBz9tDhaiolO2csMwAAAAAA6GwkEOFfHpZdzhX3eas9dJVDzCGHCAAAAAAAOhgJRPidk+yh8vp68x+15/KcJysbND4aAAAAAADAV1hEBT7lqgbQ9L+/+1vzH3VJ7VVdTUVqXlCFdVQAAAAAAHbO/t8vtLoJLrDkS2ejAhG+5qQesHDxZalH9tB5EaJn5A0BAAAAAEC7IIEIP/JcfljfYcWspgIAAAAAAMAQZviOh7VTTHXMHu6/76rzJGaNA5kBAAAAAOhm4XC47XaeSqUasVvfogIR/uI2e1gyfrnuPNRCOmSOYm50+wEAAAAA8LOGZg8bp02b7RkViPAjt7WH//u7v6176V+uCLEJq6kAAAAAANDN1j38h1Y3wYVzz36zeQdLa1PHZ6cvJHVdMR8wgsHQms07tm5UA4GmtYIKRPiI23K/RpfvucpjkjcEAAAAAAB1k9ZikU0Dw+PxVCqXPRQRRdf1VHx8eHhTJKalm9QWbxWIH7701P7ZmUuXRERk9cCD//T9++++tTFP/PClXQ8fvbT6wWcP3u/oCGhbnqc+/N/f/e2XYk9/erWBSyc7KULMcV6E+Kdv/ObLb373y29+l0WZAQAAAABAXnoqsu2QriiGERzcuaN/Y19fwCw4TKfT8/OnZg8fSup6amzbhZ3HEkONr0T0UIH4xlP/+PDRbBJQRC7NHJ14+Kk3GvLED1/af/RSpQ3QaZzn6XLlhw0t/aMIEQAAAAAANJcWM7OH4YljJxPRIVUN5IYrBwIBVR2KJk4emwgbiqIf2jvVhDJE1wnEN56amBGR1Q+OP/vyyy+//PKz4w+uFpGZiV0vfVjvJ5I+7B6e1yrxZ+2eOR8iAAAAAACAW+mpwylFMYIjx6KqfXFhQI0eGwkaih4/rjW8SS4TiB++9IsZERkYP5gdenzr3fcfHB8QkUuzZypkED08kfRh1/AweLn5ixc7THFShAgAAAAAAGqQPjU9JyKDO6oOTQ4M7RgUkeRswzOI7hKIH56ZvSQiA+rdRQ/f/f0HV1fOILp/YiZ9OPDgg6tdNRHtxvPUh9Ks8sNcw1yVSTosQjRfQvPzoQAAAAAAwJfm358Twwiu6nOwbd+qoGHIhflGj2J2t4hK+gOrNKDIrbd9ReTSpQ/SItYrnbh94htPPXz0ksjA+GPrP9h11FUb0ZZcZQ+bn27bf99V59nDTx/fY2YPna+mAgAAAABwYsPvGz9WE/CFNX1OlkYJ9K0RmZt7f16koSupuKpA/PCDP4rI6tvKWxS4bbWI/PEDmxJEl080p0tc/eCzj5UmHC1904qTJ6LlPEx9mKvsa8nshwxkBgAAAAAA3cbDKsyNlk0f7r7fupoRncLb4OX/8/f/X2OaU4WHEdbCaioAAAAAAMCdvlUhUZSUo4kNtdmUokjI0XDnWtQ1gXjpA48jrgue6CF9+Acr3hqC5nOVmGtt+aGJIkQAAAAAANAwgY2bQyKSPDxVLc+WnjqcFJHQ5o0NHb8sdU4gWo1RdvXED1/aRfVhl/A2eLlV5Ycmb0WIVbGOCgAAAAAAyAkM7QgbhqLHt8U02xxiWpuKbIvrimGEqy/XXDN3i6g0VmbhZdKHna+WlZelpeWHpt2/7nXecpZSAQAAAIB6Of0ttdVNcIr1XlADNbpv8MJYUk+Nb0sGQ4M79kTVohyhFhsYT4kohhHceSzahKhwVYF4621fEeuByuYqy1+5zSbx5+iJH56ZvSQicunow/+Y9/DRS/nHnnrDTXPhT96yhy0vPzS5ajN5QwAAAAAA4IUaTRzbGQ4aiqLPXZgv+2t/2DCCwZF9xxKNrz4UcVuBGLhttcilP37wodxdlCq0X2W51ieiU3keDtzy8kMTRYjy8bml359YeuuyYf7vylt61m3p2bxOadCx3pGezetq28vC0oGJxSt3LYtt73HzNOPd15Zef2XpioiIrLxr2T3hnjtW2G9+bjH63JLtX62Pbkz/7LNXV1r86d0jfz56tmzzW5b96Mc9NzlqPJqka8LBkssYKXu63fn/8cLS758velfveWhZyZ6dbAPf6prA8RYjTp5lTB/5/NWz5huorLyr55+2V7g72MYafIsYqf6s/1m6cllERG7pubfKm7P0y0cX37LoRBnvHvn89bNG5ujcRwD4TGAomhjamtZOzfeVJc7U6MmTzWyLuzkQb13fv1rk0tEXiysB33jx6CWR1f3rbUceO3nirfcffLncsw+uFpHVDz778ssvv/zY3a6aC//xMPWh+Kb80OStCLHycsxtNw3i0i9/9ucnn1vM9WhF5MrlpVef++zAEfvcmVcfv/bZk88tLtR9v44Y0z/77Gi2RysiV84uHp34bLqerTHePfLZq5et/7RwxfJx+Er3hIOlGmPE9vz/+NzikxOl7+rRiT//8py7beBX3RM43mLEybOWfvnoZ9nsoYgYV84uPvno4rvWe65wr4E/ESPOnpU7q8035zXDfvvFtyweX/rlo58dzWYPJXMfqW9PDwBqFwioQ2rrC+9czoF46/r+1UcvXZqZ2CXjux+7+1aRD994af/EjFTOH9bwRHQQz4OXc//2SfmhyWER4qeP76mcPWw7xvTPFt+6LHJLz4MP9dyxwvyl1/j43NIvnlu6cnbxwMobRr/dkN/Gm+/j1z5/9bKI9Dw4bv4Wbbx75LOjZ41Xn1/6ml0N4LplsafLLqzmD/LS82DJD/ILS9PPL9p/o/vLwmXqDX2ui8LBkpcYyal0/i/9/rklEeXrP/zCt9YpN4m558+PnjXeem5x3dPL7nC6DfypiwLHW4w4eFY2G3JLz4MPZbd57fOjrywdfV4pvWtUudfAh4gRZzGSP//l43OLTz63dOWVpXe/bXH9t0ugv3vEjKNlDz7Ukz36507vYgDQddwuonLr/bvHP3h4YubSzMTDMwWPD4wfLFj55MOXdj189JKsfvDZ3KPOnojOVXv20D/233fV2yrSnTCQOdNju2vZj4rGSSk3rVs2Oq4cmFi067q1IeOd/zFElHvHcyNZlDu2f/HeK5+9ennpnYWezU6HtxjTzy9eMfdT8OjHry3+4pWlKyIr7+qRs0sWtYYLsiAiK4X+q291UzhY8h4jVc7/c8ZbIiu/84Uf5AejKXds/4K553Pnlt2xztk28KVuChxvMeLgWQt/OWfmXH6ce6OUO779xR/JZ0++svj7cz0/yJ7/1e818B9ipFqMLP3+FaP4/Jeb1i178K6lo2ctrv8fv/bZ0bOWIWAO9VDufain4OhfcN/TA4AGSKe1+bJZDyvr61MDDS1TdL8K8613P/bs+G0v/uLozCXzgdUDD+5+zEES0PMT0f5qXHbZP+OXS9SxCPFP3/jNl9/87pff/K6vqizLmT025d6w1a+yK3ruuWvpdVFkQSTf5ao8s0x2PpqH5PfPL751WaRo7htj+meZX4zfeu7Pb4ly7/gXN6/IzuL0DePAc0tXpLCH7WYWG3Oywgr1febXs1t6vla0B+Vrf6O8etk49/+Mzc5+/De/Bqz8zheKu6FLv39l6Yo5X8+Kvxwon+hQRBaMKyJf/waTVflWN4WDJe8xUu38t6zkze7ZxTbwo24KHG8x4uRZC8YVEblLKUkh3fTXPStfWVz4yJBMYt3BvQa+Q4xUi5HMD0g9Jef/Hdu/FNtefoilX7xiyF3LRsPiJgRuWEH2EGiBc89+s9VN8I/542NjKcVFublhhPedjPosgSgit959/2N33/9YhQ3uP/jy/V6e6HxXaB+es4clSTdfZda8FSG2P7MmrrSfl3fH9i8WdeYyQ3fzrlxeOjqxtPI7XywaenN58cmJgm3OLh69ItUSGcYvn8tOtr3yhpucH8utsgLAm26+QWTpypW/iDhI7ZndVum5p7QNN3xr/Is/MAcl2cyz8+6bSyKKyNIvf5adQL36BOFooi4MB0teYqT6+W8lU6hS8Uudk23QUl0YON7uIw6etXKl9VzmBdt4izW0FDFSLUY+/ugvIrLiZkUWln6ZTYna9JGWfjmxeOWWZT/a3iML5XNHZjKVrz6/tCI3hDlT/lmanQeAZutbNTgYdveUVX2NaUqOpwQi4J7nZZd9W35o6rLlmBeMKyIr/+YGZzVK5tDd4pllXvv86CvGlVc+n/7rLxZV5OW2Mfuml80RWMrmH3/pa6999uQrxtd/+KUfFA5IObtUvI6em2OZrMuXyl5s+dezFcpKEYejwN5NLV6x+pFcRLmpSoLDHFZjvPXcYv6xy0uvPrd0rhE5IHjQVeFQ4R3wEiNVz38L2TF9lUdGV98GLdZVgeMtRpw8y/z3//zl428XJYA+/n8lIzS9xBpajBiRKjHypyuGiLLio8XocwU5QYs+kjlVaM+D9nnSm779xR/J4i9eWTw6ke9urbxr2T+xWHmT9PZ2S0FG97xSU1e9Xg8v9pNPPnGwVWAoGvXQnoYigYjG8lym5+fyQ1OuCNFJDrHzllJxIDMspbDrmZuhqWRYSsHsMyt67rlr8Wj1MSbKvQ8VdAddHKuJFpZePytW5YdO/GXhsogoX/9Oz7e+nR00VLmbDj8jHGrz8WufPWnOeGX/pc7JNmgzBI6dFTesu0WuXF588mdSksppdcvQXN0bI8arryxVTmWaC6d8/YeVJ4s03rnyl5JM5ZUrxp8WhOR7U1y96rHEpO10zys1ddXr7aoXSwIRDVT74GWflx96GMhcoQixXaZBFMejd61/QjdnaCraSfE4nS+vVESqfgUqnpvG+bGayKwEsSo/dKLnB0/3/KDoER9/le1iXRIO7x75c/FXzZ4Hm7fMcWZNzMwand63gY90SeA0krL5oWXnJhavXC6pnGKllA5BjFRXMZWZWTjlO1/8QaUFtTLzP5olhwU/1i4dnZAm3uYAoJK0NnX88HRyTs/Oh2gYwdDg5h1bh9SGzndohQQiGqX27OGnj++RN78rviw/9KAjihDNESVX5GOxWxrYeHdB7ljhILdVaSf15u1YmRdb1iFeMJx9N8vMxbbur+uZ6fPrV9mu1FXhYKnWGHEgN7/VLUWrbbreBv7RVYHjLUYcPmtFz+i4TKeWXj1bMEnuir8cOGs7NyLaAzEiVWLEzH5WTGXe8M7/GCJy5ZXPoq8Ub3R58clHF+WuZbHtPZmayruWjebr1nOJyKXXX+u5gx9rgWZb9/AfWt0EF5qw5Etai+0dS+qKIgWrqSiKrqf0seT04L490eYmEUkgoiFqXHZZRD59fM+X3/xu/VrUWF0zE2JmzNTSOwvWU4x9/NrnR18xHM2lXTZhdgPVcqyyDrE5dXf1r2fWCwuig3RTOFgvbWnyHCNVZWfrL6gN8bQNfKWbAifDW4w4edaKns3bezYXxObHry1dEfn6zWQ92hkxUsf7SGU2MzDyYy0An0hPmdnDYHhkx9aNaiCTK0yntVPHD8dTenJs76pjiaEmphD5hRL1V0v2sLxGz+flh65eY9vmDfOUr/2NImK8+vzSx+V/zKw4nK25y03xXrxVZmBvfTuFjTjWihvW3SJyeemdopUrHdcVupsEvcy5xeijf44eKV0xMLMqC9UlvtBN4WB9oNpipLJMZlD5+g+/OFole1hxG/hONwWOtxhx9KylXz765+iji++KxTasQt7miJEqMXLTX/esFLnyylLx+V/YEmXzj78Ue7r4v/FlK0XklmU/evpLsYKpcpv07gGAa9rxQ7qiGOGJRHQolz0UkUBAHYomJsKGouiHjmvNbBIXRtRZXbKH7VV+aHI1GaLdWGYzW+rr137Tt79w7y0ilxef/Nni9Lnc7DnGx+cWzTqg/PqnmU7h4pM/W3o30y803s2scuA+ufBRxZl66nusjGwPfmIxv88jn73qrK7w3TeXRGSF5zKQdcrXReTs4oEjue8PxrtHPjvqfVUW1F83hYOlmmKkInOtT+Xe8S/+YJ1dg51sAz/qpsDxFiNOntWz7i4RWTqau0csLJmzubEKeQcgRqrEyIqee8zz/2eLZS1x00cy+1qXF39xZOnj7H4+fm3xF/W/XQKAe9psUgwjuHOravlndevOoGFIcraZGUSGMKOeah+5LMVlej4vPzR123LMyuaHli08v/jW5aVXn1t6teSPdy37UcE8MpZTvIvIyu98we3Xm7de+eytV5R7x+1WH3Z/rHOL0eeWimfgLnXTt79w7/989urlpaMThZWAxYsSWu/HWLgitZWB9Pzgh8bCc0tXzi4+ebbwFSn3skaEj3RROFiqIUYqOrf06mURMV6d+HPpuyqSGbjnZBv4VBcFjrcYcfKsO8LLVp5dLL1H3FL47qF9ESNVYuSO7cu+fmXxrdJnVV1zuUTPD8ZlYaIsjjy9ewDQEGv67EYoB/rWiMw1tTEkEFE/NWYPC9Nqvi7Bg6zo+cGPb/jWuaVfnPjLlcuZH6tX3tKzbkvP5pI6oBU9o0/f8O6Rz18/m5kMe+UtPfc8tOwON32ym779hXuvfP7qWUPEWFgQsf85uvZjlVE2//iLK15bev2VzKKWK+9adk+4x/E+b6hpHNm6ZaPjyi+fX3or9ya7OzqaoovCwVKNMWLNLOCtfRv4VxcFjrcYcfCsFT2j41Jwj1C+/p2eb32bsfydghipss+eH/z4hnW1tyS7GNG5gv1YvMkA0Hx9q0Iicxfm02K9UEp6/oKIhFb1NbFNimFUrFVvW1eveq+AK9fb21vfHbZc3V9RvbKHZvnhl10uvuyHD8j5O1DyYkuYr92454y3V9Tb62IkNQAAAAC0hIfvO+FwWEROf8t6UKcPbfi9JiKpVMrDc80Xe/b/fqHObWqku/71c/H0es0X246rMHt4sZ988omTzbTYpvGUYgRHrBZKSU9FtsV1xQhPnIzWFA6hUMj5xsyBiDpoRPaw7Th/7R2wlAoAAAAAAGgQNbovbBiKHt8WicSmtHSWNhWLmNlDI7yvtuyhWwxhRq3qmz3MaYvZDxvhT9/4zZff/K7y+vqufQcAAAAAAOhuavTYzgvbDum6ntLHU/HCPymGEdx5rLnpQxKIqEXhusP1yh62aflhISdLqZj+6ud7qUYEAAAAAAClAkOJkxvT2qnjh6cv5B9ds3nH1o1qwG55lcYhgYha1bLgsqk8idamxXe55Zir6oC1mAEAAAAAQCMFAupQVB1qdTNEmAMRnjnMlFVQnkHrgPJDk/M3hzQiAAAAAAAokJ6KxWKxKS3d6oYUIIEI13b/urfGeQ+l4krEbVp+aMq9IVVziBUGL5vvQMekUwEAAAAAgGPz7yeTqVR8bFtkyjqHqMU2bdq0KaY1sU0kEOFOYeqwvtnDjsmXuX1bKEIEAAAAAAAlFEWPDw/YJRGbjAQiXKi98FAq1h5Km5cflqilCBEAAAAAAHQtwwhPTI4EDUOPD0dirR/NTAIRTjU0e9gx5YcmihABAAAAAEBNAkOJY/vCQUNPjduOZm4WEohwpAm1h9JZ5Ycmz0WIxj1npOPyqgAAAAAAwIWAGk0cmwgbih7f1tJCRBKIqK7R2cOOTJPV8l4BAAAAAACIiEhAjZ6cHAkqesp+WZWGI4GIKppTeyidWH5oqlqECAAAAAAAUEFgKDE5EQ7J3KFtkZg23/wGkEBEJU3IHnZk+aHJ1ZtmNw1iB78/AAAAAADAoYAaTRzbGZK51Hg8pShNPjoJRNhqWu2hdG75oalyEWL3zAgJAAAAAAC8CwwlTh4bCRrNPzIJRFhrTvaw48vr6lKECAAAAAAAukgoFArZ/S0wlDg2MRIeHFzV18QWLWvisdA2mll7KN1Rarf7170V3sxPH99D9hAAAAAAAIio0YRacYOAOhStvEXdUYGIUk3OHna83NvoZDWVkjSimVrt+DpNAAAAAADgZ1Qgokgzs4fkxQpRhAgAAAAAKHTXv37e6iagpdJp7dTxw9NJXc8smRIMBtds3rF1SA00vS1UICKvJdnDbhi/XMv7CQAAAAAAuo4Wi2zbNh5P5bKHIqLreio+vm1TZCrd7OZQgYiMloxc7obsYaHKMyGa/urnexn3DQAAAADdLJVKNWjP4XC4oftHfaSnImNJXVGMYHjfnq19gfnjm8aSMrjv2FY5vnc8pR/aFpFjiaEmFiJSgQiRpmcPu3DwspM3lrwhAAAAAADQjh/SFcUITxxLRNVAIJ8nDATUaGJyJKgo+qHjWjOb1LEViL291ResaO0OWy73iv75PzOP/Ne/iIjHl/nn6KPmP74Ue/pLzp5i3HPG27EstcsHtPvXvf/1L7Z//bOImKnY2NOFr6hdXh0AAAAAAKiNNpsUQ4I7t1rPdRjYuDl4aG4uOatF1aatxdyxCcSrV+s561xvb299d9hyxa+oV0T23+f9JRbWHn5abS+58sM6vqVt8QHtvy9T6VmpqQVLqZib/ekbv/nym99VXl/vcLg3qUYAAAAAANrfmj67EcqBvjUic01tDEOYu15u8LI3f/XzvW7nPTR12+yHhWp8zwEAAAAAQKe7MG+3Ukp6/oKIhFb1NbE1JBC7Wo1THxYVHjJ/nwO595kcIgAAAAAAsKL2D4qi6NOnrDOI5gyJFSoUG4EEYveqY/bQ+bO6cPmUEg7f7dyckjm8dQAAAAAAdAO1f1BE9PhwZEorTCLOa9pULDKeUgwjvC/atPkPRUggdq3cwinNzB7mdPP45Ry7IsTyt5S3CwAAAACALqJGJ0eCIjJ3aHY++5iipOLj4/GUbgTDO481N33YwYuowIkmZw+poTPtv++qkyHMf/XzvQwMBwAAAACgCwWGEjMbtanj2fxhKBQUkTWbN/dvHLJenLmxSCB2o1om4Kux9lCop3Pg04K1mAEAAAAAORt+r7W6CUCzBNShTKGhGk00ueKwFEOYu04tUx/Wkj2k/LCc80yumXXlPQQAAAAAAM1HBWJ3yWWs/utf5KrL/GHttYdC+WFWbhTz7l/3WmZyvxR7+s/RRxnFDAAAAACmVCrVoD2Hw+GG7h/wKp3Wju89nJybG9x3snjSw7SmzUtfnxpo1mhmEojdaP99V0XcjWKuMXtI6RwAAAAAAIBjWiwyltIVEcXmcRERIxjetyfahEkRGcLcRTxPpzTW4QAAIABJREFUfViX2kOh/LBYrvCw8ufCZIgAAAAAAHSZ9FRkLKUrhhEMT0wey5cfZh4XkWAwGDQMRU+NbYs1YWZQEojdwvPUh7VnDyk/tFP5s2DwMgAAAAAA3Ug7HtcVwwjvO5mIFg5Tzj4+MTOTSCQSJ4+NBA1FSR2eSje6RSQQu0vzs4c5lB9WQBEiAAAAAAAwabNJEQnt3KpWeTwwtGNQROamTzU6g0gCsSt4G7xcx+wh7FCECAAAAAAACqTnL4hhBDdvLJnaUJtNlj2u9ocNQ+ben29wm0ggdj5vg5frlT1k/DIAAAAAAIBj8+/PiciavpL8YXr+glg93hSswtzhWps9zGH8clW7f93rdoA5AAAAAACd4dyz32x1E/wufWpaVxQJruprxdGpQOxkLc8eUn7ohJNPp+XTIJ6/uF05s33k7cnkdZstrs8efPuJDWfWjyw0tWFNcH5hcuTMeuX19crr65UzTxxccFcYfv7iduX1J5LWf3piw+uZPW8484Tle3t+4YkN+aNvH3F5dDRCN4eDpUbFyPX55NvbczHi5PxPvr1eeX37QbvPBS3VzYHTsPvIfLLqfWThCSUXRPn/CBM/IkbcxYizc9vJnp30xwCg6fpWhUTkwnzxvIZmXWKoZGCzNptSFAk1PKtIBWLn81bXVsfZ9yg/dMiyCPHTx/e0PHuYcW0ucW0ucU309cNrS/82f/Dc7tFrIiJfa37DGun8xe3BC3P5/7+WGj2XenHNC6dvd3RxPr/wRPDCnMjt5X9Kvr1+y0f5/9WupbZoqci6F+Ir+uy2kWtziXMPvOP46GigrgwHS42KkeuzI9ruROEj1+YS5x5I3LzfuLPfriVF8QIf6srAadh9ZP7gmQfMd8yUvY+cia8oePr1i55bjhYgRsRpjDg5t53s2Ul/DEATpFKpBu05HA43dP8NE+hbI4quT59KDw3lsoXabFIMKZkYMa3NJkWU0qxiA1CB2LFqXDildpQfOpfLG3r71Jrq2u9+W/7D7PX/fvGaxbZt7/rk9gtzIhJZ94JxzxnjnjP6urCIaBf+zUHtxnzy4vbgOesbVTbTESrY8yOqSOJcwZ4XnjC3OVBwdNXp0dEUXRUOlhoWI8mLuxMi6s37dfVM4fkvH+22Lr3JJFnQDroqcBoWI7Lw/Og1keXhE5kYeeHEmpCIJM4V1Srq1+dEQgeycZT978iuG+vw4tAoxIiDGKl+bjvYs6P+GAC0iLp1Z9Aw9PhwTDOrENNabCylKAX1h+m0NhWLbBtPKYYR3jHU8GkRSSB2uNZOfSiUHzpW4ZPyz1rM6s1hVeZeLBv9cX7hd5qEIze3pFENdH7hd5qIuib/K/TaFT/V14TE6k0ocn1y5MwDWy7MyfJwZHn5n+d/u2D2aI8U7Hn4tPqIKnOjF2czR79+UUTUNf++q+DoR5wcHU3RbeFgqWExMvurj0SWP3Lkzv612a+C2fNfEh/Plu9tw7mUza7gL90WOI27jxy8mBIJHVj308FMjPQN3n7kxM0icnEun/iYn7smIreHSBe2D2LEWYxUP7cd7NlRfwwAWiYwtGdnSERS48MDAwMDA8PjKcUwgjv35DKF88fHDqV0xTCCO49F1ca3iARiZ/JQyFbf7CHlh575ugjxxs3fXy7awn+fL3p0/rcLc3Lz5u+Vb3999uDb2/NT+JXNLJOdsGz+4NvbLaenqbqBqXiCm9KJ0rKzR81mtzHbMDtSZR4os1sZ+n7xGJa1K/5elfI3oUjy4jOJa6HImv36+oe+avH399+7JiLh760ofvjGv/v+cpFrf6ywZ9PXbmRYjQ90VzhYalyM9MfvOWOUjeAz91zejIPnntEkfMJ6V/CZ7gqcxsVI36715YWEZkql0PvvXRO5efOg/YHgO8SIoxipem472XOt/TEAaLTAUGJyIhw0DPN/jWB457FEYaHhqtBgeGTi2MlE46sPRUggdiQPa6c0ovZQKD90qR1WYV71DytCpSNrrv/3i9ckclPZrGTXJzdou0c/mtNKZ2gq6UfOjWoPjH6UHXt4LTVaOmykygbnL24PnnsmkTvKtbnEuQc2vF36u/Gv3t6d2Wb57UEXtRhlP27f+JWvici1i7r9c4K3v6DfcyR+e3/ZBEYFlt8etHw8u+dMH/fCv+U68ecXzME4ZT1dtEYXhoOlhsVImUw5yY2rCh9Mvv3A6LXQAfWnpEjaRBcGTnNiZD759r+NXhO5+Yf5rOLCdEJEFSlYj2j7yMVZ0iL+Row4iBGn57aDPVfrjwFAawXUaOLkyZmZyZmZmZOJaHGiUB1KRKNDalOShyIkEDuPf7KH8Ky8CNE/H83aFX9fMrLGHFNTntJKXnxGE1HX7NdzE9Oo+yMiVmNSctP8vXBguYjFsBH7DcyJz5aHT6gv5I+yXLTSidJSiY+yE+Vkypr641XmgXr/vWuW3cpVX602THLtjX0Vv/Kt+upyqxmOSqY3unH4tPpIZPnc6LkHzB/8g+ee0ZaHSZT4RzeFg6XGxYiVzGxW4Z8UTH5vTl8VWceEbu2kmwKnKTFyfXLD6+uV1x/Y8tGcuma/XrDKkDkVhvbR7i0fzWmZx+YSF3YHz0ySQ/QzYqRqjDg4t53s2Vl/DAB8oWlJwkpIIHam1mYPGb/sWRsUId74d8UjazJjaspTWoN3njHuOXO6sHrixv7H14TKd1kwzV/frtvDrjZIfpybBCqbU7ixP75+f6RsojR1zb/7JsXQ9w8rQiJzo9r2wurCDdozWvF25xcuvlPShb128b1rTIDoG4RD01zPBEhkXUEC3fxOe/P+ODW57YXAqbvlIXV5SES0C7u3v51PDurX50REvfmRE/nFiB5RReTaM9svcivxMWKkmjqd2077YwDQSmltKhaJbNo0kLVpUyQSm8osrNJcy1pwTDSM5+nzGlHgxvjlDtUXWi7y0e9+e314143ZMTW3l42pyZs/f/19/ZrMfTz93rWLiWvly6QWT0+z/HZVRHO6gTnf09yotn60/MjX/nhe8l1qX80buPb2fz+w8MDotbnRcw/kW748HJFUbnzQ+YvbMz/4Z+fIP78wuf3cM4lzD8i6M2RM/KFrwmHhCaV4KdhIE0/C8wtPbD+X0kQi617IHzSzcMojhfVWaBNdEzjNcePw6fXDIiIyn3z7gS0fPROUrxh39ouZXbqzaNu1K4ZPq7JBe0Zb+O/zt5dOMwrfIEaqqNe57aQ/BgAtlJ6KDMd1ERFFyT2oKLqe0sdT8WB4ItGMpVPySCB2IA/lh3VE+WFd/PN/yv77Wt0IG4M3heWj1HvXRG7MjKn5iXUeYf7g2/+Wn0+nIczZr21cu6iL1PDtyBzYUr6Tigd1qm/X+hdCF5//jwspTUQkFFnzw8dvX/XbM6nscBtz8u/wifX5eqtc5zhxcfLxFXzx84WuCQdLDY0R03zy7X/b8tGcSCiy7khhytKcD1GuPRN8/Znip5jfcsMn7mGwv391TeA0IUYK9Q3euT/y0e7ER9PJO/ttz/8b/+77y5/RGnJNQN0QI15ipOjcdrjnqv0xAGgdLTYc1w0jOLhzx9aNaiA3iDmd1k7tHY/remo81j/TzBQiCcTO4bb8sKFTH1J+6Nn++676eiFmEVmxOSKpxMez8RWrfrswJzf/0PJbSvLtB0Y/EpFQ5Obbv3rj5tCNElzeLwvbgxfq2M01e4cNzRRcnLsug4Xjca7/8R2xn3Lbhb7B2386ePtPC/Y8+eI1kZu/slbEdu4evvj5TZeEw4qfGvf81OZvjYuR+YNnHhi9JoV1uOgQXRI4GY2LkXLmy6n/ftFsxIjUJUac7LlyfwwAWiU9dTgpogzuK6syDATUocRMX2xgPJU8PLVVbc4KzCLMgdgx3K6d8ufoo+Y/6ps9pPywjnycRuz/3s0iH00n7dYEFBGZ/dVHIssf0e85Er/zp7tu7x9c0b/2RrOqro76QstFJPWrhapbetm5OTNOyTTkmXVgV/xdLd3K5NvrldfXF089brXCrN3E3vwq7iNdEg7WR2xcjOSyh+rN+/X1FtnDtbcfMXKLBmT+Myf+N6fwp/zQ57okcBoXI7Mjr69XXn8iWfJw0T3CZpuF50e5j7QBYqRCjDg5tx3t2Wl/DABaYP79OTGMcL9dgaHaHzYMmXu/mbMak0DsBB5WXjY1aG1fyg9r5P+lVAZvCouk/uOc9ZqAedd+99tcv+367IhZTFT/lkji3PaRfAdxPnlxu/L6euXt2QpPdGLtir9XRbQLD4zkp9Z+InhhrnSqIPeyzX4ieT3f5mDRCrP937tZROZGzz1x8Hr26NcnR849U4/UDOqpS8LBUuNi5PzFfxu9JuqaF07f2c/Z3pG6JHAaFiPmPSK15UzuPpJf/CF7j7Dc5okN51IiEmECRN8jRuxjxNG57WTPDvpjAOBX6fkLTT8mQ5g7R2unPhTKDxtg9697fZpMNEfWXLMdU2P27RIfFU9KnaVdf1+kTt2yFT89cfPFLR/NJc49kCj6Q/hElaUVZkde352Q0AH1iO2KgTcOH1nzu+CF0p0XLzLoYD8WzX7owPLU6LXUFq1wYYrQATVfNjV45wsHrj0wei01qqWK3sPljxyhU+srXRIOlhoVI7M/vzAnItqFB5TyntHyR/T15D7aX5cETsPuI7l7RPF9ROTm/bl7xOCd+yPXdifKtlHXvMBKXG2AGLGPEUfntpM9O+iPAUCLqP2DkkqlbMYop6f2HtIVRewrFBuBCsS256upD4Xywzr5r39pdQuqWPXV5SJiN6ZGRGTwzhdO3BzKX86WhyJr9uvqI6qYa/bVzeCdR/R1YXV57oGQevN+vU4DGNfefkRf90gkt/Pl4QPrXjhdh/xd3671Re+PevMjJ0q713271r9wYk3BSzPfQ1InvtMt4WCpITGyMJ2ovhHaXbcETmPvI2vCRe/PuheMoqLd/vj6kvewXkdHExAjFTg6tx3s2Ul/DABaQ926M2gYenx406aYVvQXLbZpW1xXDCO4c2tTV2FWDMNo5vGa5urVetZt9fb21neH9eJ28HIue/il2NP1fUW58sOWJBB9+wF51tvb+8//mfm3+eGa73DVt7e317czJwIAAABAhq++wYXDYRFJpVJVt+wAvNjW+uSTT5xump6KbDs0J4P7ThaupKLFNo1dCO3csWdIrXn9lFAo5HxjhjB3ArfZw08f3/OlxrSE8sM6aoPlmAEAAAAAQCMEhhInh9LpdPGjavTkyZY0x1sC8cOXnto/O3PpkoiIrB548J++f//dt9btiR++8dKLv8hvtXqg3/H+u4ur7FKjRy6jcfw7EyIAAAAAAGiYQKDmOsM68TAH4htP/ePDR7PpPRG5NHN04uGn3qjTE994atfDE0VbXZo5OvHwrpc+dN/S7uAqtdSg7CHLpzQIeUMAAAAAANByrisQ33hqYkZEVj84vvv+u28V+fCNl/ZPHL00M7HrtmcP3l+hTNDRE994amLmksjqgfHdj5k1h5nNLh19+KnbXn7sbi+vsTN5Kz9sKMYvAwAAAAAA1Edamzp+eDo5pyuK+YBhBEODm3dsrcMEiG65rED88KVfzIjIwPjB7JjiW+++/+D4gIhcmj1ToUjQ0RPzGz2WG7Gc20xmNAdVjl3C1dopjR68TPlhEzAZIgAAAAAA3SOtxSLbxuIpPZc9FBFF0fVUfGxbJKalKzy3EdwlED88M3tJRAbU4krAu7//4OrKGURnT0x/YLWRyN3qgIjIHz9gGLOI+5WXTY2e+pDywwZhFDMAAAAAAN0lPbV3LKkrSjA8MjE5OZM1OTkxEg4qip4c2zvV3BSiuwSiXYbv1tu+IiKXPrBtu7Mn3v3Yyy+/zDhlZ9yuvNwglB82zUPzZ1rdBAAAAAAA0HDa8UO6ohjhiUR0SC1YRyUQUIeiiYmwoSj6oeNaM5vkag7EDz/4o4isvq18oHXgttUil/74wYdiuVqy5yea3tBmRGR1/3rrTb75zW+WP5hKpWz31zWatvIy5YcNtf++qwxhBgAAANBJent99x3Hh01qHF5sq3zyyScOttJmk2JIcOdW1fLP6tadweShueSsFlWtt2gA14uoNF92ZsR/qrRES9fwkEhqXPaQ8sMme2j+jHyDEc0AAAAA2t7Vq777auPDJjUOL7YdrOmzWykl0LdGZK6pjalvAvHSB2kRL1m+Ck9846mHj14SWf3g921HNv/hD38of7Btz49KvK2d0miUHzYBRYgAAAAAAHSHvlUhkbkL82mxXm05PX9BREKr+prYJperMFdmNUa5pie+8dSuiRmR1QPjByk/9NXKywAAAAAAAGiAQN8aURT9kPVCKempvYd0RalQodgI/h3C/OFLuzK1h8+SPczzT/aQ8csAAAAAAAB1p0b3hZNjKT2+LTI9uHnH1o2ZWsP5U8cPTyd1XTGM8L5o0+Y/FHGZQLz1tq+IXLIab2yusvyV22wSfa6f+MZTuyZmyB7mOR++2uTaQ8YvAwAAAAAA1JUaPbbzwrZDuq6n9PFUvPBPimEEdx5rbvrQbQWi3ZrJ9qsse3jih2889XB24PJjthMfdhNXg5dNjc4eUn4IAAD+f/buPzjK+t77/3sNWM8xdmTuKCAhECCZOVapiL2RReYI/tpgrZ1TqrTyQ9tOEM9UcDoSDznV0fsOp8FxBJ1bTMZWCWLRyhmLStYfEM5BFjlK4cRq585CgiFAIrnB1vBtq6T7/ePa3Vx77bXXXtfuXj/22udj+CPZfPa6Pte6HzfXK+/P5wMAAAC7VC5q3X1dX+S9LS/sOjLy6NT5d991XbDSycnLCmsB4oTZc6vbenraXtm/UB3t7X+lrUekeu7sjLWC5p+YSA8pPdTyzsYpyfSQ8kMAAAAAAAB7VFYGFzUEF7ndDRHLm6hMmD23WkQ6mlY+uf+4iIgc3//qyqYOMc4PzT7xuPIQ6WFOmLwMAAAAAACAgrO6icqEhasbj61o6ujpaFrRoXo8dZ/k+AYo6iDQzBOVgkSRnrYV32nTOfm8xu2lN6fZ/OqHCiYvAwAAAAAAFK2+vkhvb/ZmVVUOzmW2vgvzhFkPbGyc+MpLbR09ygPV85aufsBEwWDWJ+6PdGR4askyv/qhM5OXkyg/BAAAAAAAsEHvljVrwoGAcaNYLLR2d4OHA0QRmTBr4QOzFj5g0GDhhu0LLT9x1gPbtxsctOTkkB5SfggAAAAAAFDMqibV1YX0fnDkyJFoNCoiNaHld8+9rsrBPuUUIMJB3kkPkyg/BAAAAAAAsEflooaGzD/tizQvbgy3vDDputagc32yuIkKnGJy6UPn00MAAAAAAAC4pDLYsDYUi3U9uyXi4FkJED0ta/mhwpn0kPnLAAAAAAAAJYgpzF5ktfzQScxfBgAAAAAAcE1f1aS62lqZ6+AMZgJEDzMuP3R48jLlhwAAAAAAAO6rrFzU0LrI2XMSIHqOyfJDhcPpIeWHAAAAAAAATujri7y35YVd7dFoQHmgpqZm6vy771oUrHS8LwSI3pJMD02WHzqJ9BAAAAAAAMAJkeb6Ne3RQEAkkHwsGo1Go43tz9bc+2LrImdDRDZR8SImLwMAAAAAAJSovq1KehirCTVt3ry5oykUi8VioabNm5tCNYFA9NnF9Vv7HO0RAaKHeHDychLlhwAAAAAAAA6IbHk2GgjEQk0vtjYEKytHag0rK4MNrZuX1wQC0We3RJzsEgGiV3hz8jLlhwAAAAAAAA6K7GmXWKzm3rv01zqsvG5+TSwm7XucTBAJEL3FU5OXkyg/BAAAAAAAcNDUqkyrHFZWTXW0JyIEiB5hZvKy8+kh5YcAAAAAAABuONKbaZXDvt4jIlI7qcrB3hAgeohB+aFbtYdC+SEAAAAAAIBzgnPrJBCI7npPP0FUVkg0qFC0AwGi+7KWH7qSHlJ+CAAAAAAA4Lzg3DoRibYsqd8aUYeIvZHI1ub6xnAgFgutbQg62SUCRJeZ3DtFXEoPKT8EAAAAAABwVLBh8/IaEel6dk9v4rFAINzS2NgSjsZqQve+6Gx8KDLK2dNBn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width="864" /></p>
<p>Do L2 participants in the different conditions differ along any of these measures?</p>
<pre class="r"><code>## Use Kruskal-Wallis test for this data 
# Cloze score (again)
ppts %&gt;% 
  dplyr::filter(Group == &quot;L2&quot;) %&gt;%
  kruskal.test(ClozeScore ~ Condition, data = .)</code></pre>
<pre><code>## 
##  Kruskal-Wallis rank sum test
## 
## data:  ClozeScore by Condition
## Kruskal-Wallis chi-squared = 0.84992, df = 2, p-value = 0.6538</code></pre>
<pre class="r"><code># L2 self-rated proficiency
ppts %&gt;% 
  dplyr::filter(Group == &quot;L2&quot;) %&gt;%
  kruskal.test(L2_SelfRating ~ Condition, data = .)</code></pre>
<pre><code>## 
##  Kruskal-Wallis rank sum test
## 
## data:  L2_SelfRating by Condition
## Kruskal-Wallis chi-squared = 0.30039, df = 2, p-value = 0.8605</code></pre>
<pre class="r"><code># L2 Age of onset
ppts %&gt;% 
  dplyr::filter(Group == &quot;L2&quot;) %&gt;%
  kruskal.test(L2_AoO ~ Condition, data = .)</code></pre>
<pre><code>## 
##  Kruskal-Wallis rank sum test
## 
## data:  L2_AoO by Condition
## Kruskal-Wallis chi-squared = 0.36081, df = 2, p-value = 0.8349</code></pre>
<pre class="r"><code># Self-reported years of formal instruction
ppts %&gt;% 
  dplyr::filter(Group == &quot;L2&quot;) %&gt;%
  kruskal.test(L2_instruction_years ~ Condition, data = .)</code></pre>
<pre><code>## 
##  Kruskal-Wallis rank sum test
## 
## data:  L2_instruction_years by Condition
## Kruskal-Wallis chi-squared = 0.38094, df = 2, p-value = 0.8266</code></pre>
<pre class="r"><code># Accuracy in vocabulary task
ppts %&gt;% 
  dplyr::filter(Group == &quot;L2&quot;) %&gt;%
  kruskal.test(VocabTaskAcc ~ Condition, data = .)</code></pre>
<pre><code>## 
##  Kruskal-Wallis rank sum test
## 
## data:  VocabTaskAcc by Condition
## Kruskal-Wallis chi-squared = 1.1745, df = 2, p-value = 0.5558</code></pre>
</div>
<div id="other-background-information" class="section level3">
<h3><span class="header-section-number">3.2.2</span> Other background information</h3>
<p>Gender distribution of the participants:</p>
<pre class="r"><code>with(ppts, table(Group, Gender))</code></pre>
<pre><code>##      Gender
## Group female male
##    L2     40   19
##    NS     27   32</code></pre>
<p>Age distribution:</p>
<pre class="r"><code>ppts %&gt;% 
  ggplot(aes(x = Age, colour = Condition)) +
  geom_density() +
  geom_rug() +
  facet_grid(Condition ~ Group) + 
  theme_bw()</code></pre>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABIAAAAMACAMAAABrYew+AAACIlBMVEUAAAAAADoAAGYAOjoAOmYAOpAAZrYAujgZGT8ZGWIZPz8ZP2IZP4EZYp8aGhozMzM6AAA6AGY6OgA6Ojo6OmY6OpA6ZmY6ZpA6ZrY6kJA6kNs/GRk/Pxk/Pz8/P2I/P4E/YmI/YoE/Yp8/gZ8/gb1NTU1NTW5NTY5Nbm5Nbo5NbqtNjshhnP9iGRliPxliPz9iYmJiYoFigZ9igb1in71in9lmAABmADpmOgBmOjpmZjpmZmZmZpBmkGZmkJBmkLZmkNtmtttmtv9uTU1ubk1ubm5ubo5ujqtujshuq+SBPxmBP2KBYj+BYmKBYoGBgZ+Bn5+Bn72BvZ+BvdmOTU2Obk2Obm6Oq6uOq8iOq+SOyOSOyP+QOgCQOjqQZjqQZmaQZpCQkDqQkGaQkLaQtraQttuQ27aQ2/+fYhmfYj+fgWKfgYGfn5+fn72fvYGfvb2fvdmf2dmrbk2rbm6rjm6ryOSr5P+2ZgC2Zjq2Zma2kDq2kGa2kJC2tra2ttu225C229u22/+2/7a2//+9gT+9n2K9n4G9n5+9vZ+9vb29vdm92Z+92dnIjk3Ijm7Iq27I5P/I///Zn2LZvYHZvZ/Zvb3Z2Z/Z2b3Z2dnbkDrbkGbbtmbbtpDbtrbb25Db27bb29vb2//b/9vb///kq27kyI7kyKvk///r6+v4dm3/tmb/yI7/25D/27b/29v/5Kv/5Mj//7b//8j//9v//+T////TIptaAAAACXBIWXMAAB2HAAAdhwGP5fFlAAAgAElEQVR4nO3djX8c9YHf8TUYYwIsKuGAw5AWLiPqJ7jkEh8JaVK8vRoT0h5F0DugpHdXGh9NStAZRMklDQ0hkFrUxoDtmDRHLbCxDJIl7f/XeVzN887T7nxnf5/v6y6SRqvRl5nV27957g0JIaSl9NouQAgxNwBECGktAEQIaS0ARAhpLQBECGktAEQIaS0ARAhpLQBECGktAEQIaS0ARAhpLQBECGktAEQIaS0ARAhpLZMG6BaiEdaKYib819eBTBygs0QgcYDa7kOcABAAGRIAUgwAAZAhASDFABAAGRIAUgwAAZAhASDFABAAGRIAUgwAAZAhASDFABAAGRIAUgwAAZAhASDFABAAGRIAUgwAAZAhASDFABAAGRIAUgwAAZAhASDFABAAGRIAUgwAAZAhASDFABAAGRIAUgwAAVBWPjx4w8uhL996sN/ffe9PW6tTN7MA0IcH+18dfeqtnTMv3t3v97/yRIut6gSAACgrUYD+vu9m95PtFaqXGQEoWAH+2jm9x1sv/Rtfzv1J1QAQAGUlAtB7/d3fOHv2/cf6N3TzjT4zAPVvDj511sSZx/o3OYPStx4IpncsAARAWQkDZL/Rv+lN8z52MLMB0O67/RXgrZ33+jedCL7TybEpAAFQVsIAjT4/NtoJ0bXMBkA3/Pc93prw1sibo4FPR1cMAAFQVmI7ob109H1+dmYAetk3JxgBdXaT2AsAAVBW0gDq6kj/7OwA5G8Ne2vH2Sv99d+2XatGAAiAspIG0Jsd3dd5dnYAOnt6j0ePu3bef8A5BPaVf99VhAAIgLKSAtB7HIZvNd4qOeb8KzA6D+gtl6D+vSfaLlcpAARAWUkC9N6e3V09BjZLALnbweG187ZzMmI3dwYBEABlJQHQmx0e/8wSQO7B99jaef9gN48OABAAZSUO0N932p9ZAsg5Ful+GjomMDojqFsBIADKShSgM8e6era/n1kCyIbnPzifBueHngWgDgeA0hMF6Fg33+DbmSWAbG6+tMc7ETFYR8e6eXwSgAAoKxGA3uy6P7MFkO1NPzgP6Bv2inn/8Y5uHwMQAGXFufLRzzdDn3fyH9qzswbQ6T390HlAzm0Kunl8EoAAKCthgN7rA5BAQoPSYOPrjHOfpv6Xuno6NAABkCGZBYBmLwAEQIYEgBQDQABkSABIMQAEQIYEgBQDQABkSABIMQAEQIYEgBQDQABkSABIMQAEQIYEgBQDQABkSABIMQAEQIYEgBQDQABkSABIMQAEQIYEgBQDQFMAiGiEtaKYCf/1dSAAZEhYK7OQCf+1tpCJA5Q++dKl2nOuPQeTOsQBypqXQYtEoMMtJTeFAah8AEiiAwApdgAgADKkAwApdgAgADKkAwApdgAgADKkAwApdgAgADKkAwApdgAgADKkAwApdgAgADKkAwApdgAgADKkAwApdgAgADKkAwApdgAgADKkAwApdgAgADKkAwApdgAgADKkAwApdgAgADKkAwApdgAgADKkAwApdgAgADKkAwApdgAgADKkAwApdgAgADKkAwApdgCgKQB0iQgkDlDbfYgTAGIEZEgHRkCKHQAIgAzpAECKHQAIgAzpAECKHQAIgAzpAECKHQAIgAzpAECKHQAIgAzpAECKHQAIgAzpAECKHQAIgAzpAECKHQAIgAzpAECKHQAIgAzpAECKHQAIgAzpAECKHQAIgAzpAECKHQAIgAzpAECKHQAIgAzpAECKHQAIgAzpAECKHQAIgAzpAECKHQCoIkBbxweWdeRkeNKnT1nW/F9dTLwUgCQ6AJBiBwCqBtDGguXk/lPbk1bcKdbeU/HXApBEBwBS7ABA1QBatvadHK4vWvtGA561wfwzw+H6U9b++GsBSKIDACl2AKBKAK0N3LHPxsL8q8GkZeto6DvhAJBEBwBS7ABAlQBa8cc5K546oWwsAJBmBwBS7ABAlQBatp51P64mNrjWBvviu6EBSKIDACl2AKAqAG0t+pteCW4+Gfg0DZ1l66ftR58QJzyWRzEA1CRAy5Y1/8roKwCSCgApBoBqAhTe47P1D38xsOb/Ov5qNsEkOrAJptgBgJrdBBt+GtoG8wNAEh0ASLEDADUM0HDVik8CIIkOAKTYAYAaPgqWYhIASXQAIMUOAFTxPKCjkY/OoMg3CYBEOwCQYgcAau5M6P2Rj9sBIIkOAKTYAYAqAWSPd/YmrgWzHr043HrX2jbJDwBJdAAgxQ4AVO1i1PXQ1fBrA9ecVe9q+Pn4QTAA0ugAQIodAKji/YDWj9vYHHHHPz5Aw/WnbX6itwhyA0ASHQBIsQMAcUdEQzoAkGIHAAIgQzoAkGIHAAIgQzoAkGIHAAIgQzoAkGIHAAIgQzoAkGIHAAIgQzoAkGIHAAIgQzoAkGIHAAIgQzoAkGIHAAIgQzoUB+izadTJnYE5qwWAAMiQDoUB+uyzmgJ1ZpEIdAAgADKkQ1GAPvusrkCdWSQCHVIAev8Hd/f7/S/d+xIANRMAkuhQHKAhALUH0PsP9IPc+FMAaiIAJNEBgBQ7xAE6vae/++svnTh75u0X7c+eBKAGAkASHQBIsUMMoA8P9m8+4X9+5lj/phMAVD88gUoiRZ8L9tln3v+TaSQG0Jthc8481v8mANUPIyCJDgVHQO7op94QqDOLRKBDFKAYOe/1bwag+gEgiQ5lAKonUGcWiUCHKEAfHozs9jm9J7ENBkDlA0ASHQBIsUMcoBtezv4SgKoFgCQ6AJBiBwACIEM6FAPos88ueR8mXSd3BuasljH7gNgEayAAJNEBgBQ7jDkK9tWzAFQ7ACTRAYAUO+ScB/T+Y/3EFhgAVQgASXQAIMUO8TOh39vT333fCW/7izOhmwkASXQoBVAtgTqzSAQ6JK4FO/2AvxX24cF/zrVgjQSAJDoAkGKHlKvh334i6Q4A1QgASXQAIMUO3A8IgAzpUA6gOgJ1ZpEIdAAgADKkAwApdkjeD+jxPf1+f/e9Kft/AKhaAEiiAwApdogD9Os9/t3Idn8DgBoKAEl0ACDFDjGATu/pu7diffvxtGPwAFQpACTRAYAUO8QAOja6Acex5K04ACiUreMDyzpyMjzp06ctaz46yQ0ASXQoBJBzJ7Lgs8nWyZ2BOasl83Ycp/ckT4MGoFE2Fiwn95/anvSuO8WafzX+WgCS6ABAih0yr4ZPuRIegLazbO07OVxftPZdDKasWvPPDJ1JYZTcAJBEBwBS7BC/Gj40AkreEBqAgqwNXGY2Fkbjna1F69mhO8n7GAoASXQoCVANgTqzSAQ6JPYB+eyceYx9QDlZsfb7H4/6UzYW/JHP8mhSEACS6ABAih2SV8N/6evvvPPOi3enXAkPQKMs+8OcVR+iyLcASLIDACl2SHkumH8eUOpReABys7Xob3qtDbZ3AnkJbZXdEqTtR58QJ4UeyxN+Hg/P5plCEmdCn3nrwXvuuecrT6TtAAIgPzkArWyPiQBIKkUAipgDQFMI14LVBCh2zGuVw/CqHYpsgtmbXdt1Km+DdWaRCHQAoEZHQKuD+fgxMAAS6QBAih1ih+F/8+Pt/ITD8FnJAmglZfwDQCIdSgNUWaDOLBKBDvETEfvb4UTE7KQfBXs31R8A0ugAQIodYiOgH/ypl7v7/Ru/xggoM8H5PyuhY+5by9be+EnQbgBIogMAKXbI2gf0/mNcDZ+T5JnQ7tUZF1NfDEASHQBIsUPmTujTezgTOjtbi9be2LVgK1n+AJBGBwBS7JAJEBej5mY9dDX82sAeB/mXxzuJnxwNQBIdAEixQ84ICIDysn7cpuaIO+ZxAVq1AEi7Q3mAqgrUmUUi0CELoDPHks+FB6BqASCJDgCk2CF2GN65DMPJ3f1+8rnwAFQtACTRoQJAFQXqzCIR6JB5HtDuP0sdGQFQ+QCQRAcAUuwQ2wT74J0g6VtmAFQhACTRAYAUO3AtGAAZ0gGAFDtkAnTmB5wJ3VAASKJDFYCqCdSZRSLQIQmQvwn29sEbXnrntwDUQABIokMBgBxu4gBVEKgzi0SgQwyg9/b0I/kmANUPAEl0qARQpSFQZxaJQIf4UzGi/iTPBQKg8gEgiQ5VASovUGcWiUCHzAcTcilGYwEgiQ7VAKoyBOrMIhHowIMJAciQDhUBqiBQZxaJQAcOwwOQIR0ASLEDt2QFIEM6VAWovECdWSQCHbglKwAZ0gGAFDtk3JL1nn7/XkZADQWAJDqMB8iVBoCm2iHndhxcDd9QeDChRMY/mDDjSYQ8oHCC4Y6IjIAM6VB5BFR6CNSZRSLQAYAAyJAOAKTYIROgDx6/j02wZgJAEh0ASLED5wEBkCEdqgNUVqDOLBKBDgmA3n/cuR51970/BaCmAkASHQBIsUMcoF8Hl8Pv/gYANRQAkugAQIodYgCd3tO/9yX749uP93kyalMBIIkOAKTYIQbQsf7Nic8AqGYASKLDWIA8ZgBoqh0yb8fBgwkbCwBJdAAgxQ7cjgOADOkAQIod4ndEDI2AeDJqQwEgiQ41ACopUGcWiUCHxD4gn50zj7EPqKkAkEQHAFLsEAPow4P9L339nXfeefHu9LtxAFCFAJBEBwBS7BA/D+j06Dyg1KPwAFQhACTRAYAUOyTOhD7z1oP33HPPV55I2wEEQJUCQBId6gBUTqDOLBKBDlwLBkCGdAAgxQ4AVBGgreMDyzpyMjZ1Y2F/8qUAJNEBgBQ75NyUPvXG9ADkZWPBcnL/qejkZQuAVDsAkGKHnJvSp96YHoC8LFv7Tg7XF619F0MTt5YtAJLtAECKHTJuSh/ka4yAUrM2cMc+Gwvzr25P/PQpC4B0OwCQYgf2AVUCaMWHZsU6GppmPfoJAMl2ACDFDgBUCaBl61n342oInJW9r0S+HgWAJDoAkGIHAKoC0Naiv+m1NojsBIoCdEuQth99QpyMeyxP7tN3eDTPhAJAAGRIAEgxAFQToOiBeDbBdDuM2wTzt7Iy6pTZBuvMIhHoAECTGwEFASCJDgCk2AGAAMiQDgCk2AGAGjsKlva1GwCS6ABAih0AqOJ5QEcjH4MAkG4HAFLsAEDNnQk9BCDlDgCk2AGAKgG0tWjtTV4LBkDKHeoBVEagziwSgQ4AVO1i1PXQ1fBrg9E4CIB0OwCQYgcAqng/oPXjtj9H3PEPAHWiAwApdgAg7ohoSAcAUuwAQABkSAcAUuwAQABkSAcAUuwAQABkSAcAUuwAQABkSAcAUuwAQABkSAcAUuwAQABkSAcAUuwAQABkSIeaAJUQqDOLRKADAAGQIR0ASLEDAAGQIR0ASLEDAAGQIR0ASLEDAAGQIR0ASLEDAAGQIR3qAlRcoM4sEoEOANQBgD6LZXsWdasZ9E4HIMkOADQFgKo+MykOTyxNPp7JgNR6LlihF5DyASDREVD6kGfct8rGoH9qGQFJdgAgPYAK6tIEQga90wFIsgMAaQFUDpVLw5oGGfROrw9QYYE6s0gEOgCQEEClNblU6adyO5SfRe0ZAFBiBuasFgBSAagKI6M5VDXIoHc6AEl2ACAJgCoCUnsOBr3TAUiyAwC1D1D1TajaYyiD3ukAJNkBgNoGqM5O5Ky9SMVnYM47HYAkOwBQqwDVPIyecxyt4AzMeacDkGQHAGoPoPpnEmas4eIGGfROByDJDgDUEkBNnMecvYaLEmTQO70BgDIFii3rziwSgQ4A1AZAjVxGMcxfw4V+h0Hv9AkCFF/SnVkkAh0AqAWAvPfr5Nfw+FMUDXqnTw4gZwlHFnNnFolABwCaPkD+e3Uqa3jMpR0GvdObAChdIG9iaBl3ZpEIdACgNgByP0zrXfbZZ9kKZV8OEk+9DnnpOkDBwgGgKh0AaOYB8n5luidj7zk0nqKuvNMnBdBoiYSWapE6eQEgABqXreMDyzpycswkNwIA+b+3gi+ZP1utQ0o6D1Dis84sEoEOAFQNoI0Fy8n9p3IneVEBKFJh7KbV+B/1fr4r7/SGAIovsPCU4NPOLBKBDgBUDaBla9/J4fqite9i3iQvggCNZtAAYdUca6LD9iyKvKgJgBJDoMh/evBFV/74FToAUCWA1gbuQGdjYf7VnEl+ZhIgP8U24CbbYZoAxQSK/hcHC6D91dKdDgBUCaAVa7//8WjOJD+zDNAwelO0KhKN/Ysvk5wZNQVQypAnNkFmtXSgAwBVAmjZetb9uOqrkz7JjwEABakCw3aHctaUtagxgEazTv4S77tyq0W4AwBVAWhr0d/OWhsEe3xSJt0SJPYkkmb/zkhGkg+AiazDlMfykCmEx/IkAkAzGQCSDAAlUgug4Kh7yqQgPJpZosO4TbBgXgYtEoEOADS5EVAQAJLoAECKHQCoNYBiR3BDH9KvOMp6dfSHatwTOmcOab89mEWZ3ze2Q9FU6FBwJ3Ta0hy7UBUWSWwWHekAQNM/CuYHgFI6FA0AjZtFRzoAUMXzgI5GPqZP8gNAxTsUDQCNm0VHOgDQ9M+E9gNAKR2KBoDGzaIjHQCoEkBbi9be2IVfKZP8AFDxDkUDQONm0ZEOAFTtYtT10KXvawN30LOeeTU80QhrZRZS7Y9cOZXuB7R+3MbmiDvY8QEKT4qk7TVG/LBWZiFV/lq1M+k7IhJCSGYAiBDSWgCIENJaAIgQ0loAiBDSWgCIENJaAIgQ0loAiBDSWgCIENJaAIgQ0loAiBDSWgCIENJaAIgQ0loAiBDSWiYNUNv3LyB+WCuzkAn/tbaQiQOUPtmg295JdOCxPIoduCMiABnSAYAUOwAQABnSAYAUOwAQABnSAYAUOwAQABnSAYAUOwAQABnSAYAUOwAQABnSAYAUOwAQABnSAYAUOwAQABnSAYAUOwAQABnSAYAUOwAQABnSAYAUOwAQABnSAYAUOwAQABnSAYAUO0wDoI+en+v1ere9cKHsD57rXfMr+8NS77rwj8a+rB8AMqIDACl2mDxAH93a87PjkZI/GgPo/B+5HwBoexa1Z2BQBwBS7DBxgM71Qrmr7M+GAQrgAaDtWdSegUEdAEixw6QBcvy59nsf25/94Vv2GOhHJX/YBchP4/AEASAjOgCQYocJA3Rlrte7M2DDxqgcIbMC0CUikDhAbfchTiYM0FKvtyv8Vbkh0KwAlD7ZoH/mJDowAlLsMFmArh6KkHPltu++4X7yuXNcbMcdbwQvumvzZ7c6m2oBMB85m2t3XgjvAzo32os0gmjcXIoGgIzoAECKHSYL0OXIAGiUYMf0jn/tfGXT8ccPeRN2ugOezee8r655PhegMXMpHgAyogMAKXaYLEDnUg982VN3/nI4/IPtxeGhS4eNyIXh58/5r15y9xttvuYYlH0UbNxcigeAjOgAQIodJg7Q4cREmwpPEnuk4wDj0HHY/9r5xpU5X5BzeQCNm0uJAJARHQBIsUMLAJ0b7RfyqBlRYtPiULIU7Hq2v5EN0Li5lAgAGdEBgBQ7tADQNhA2GruC//Vebn/HHsHsir4yFaAxcykTADKiAwApdpj4TujE/pjQJpL3qXP8yvvapWNbkrwzocfNpUwAyIgOAKTYYbIA2VtHkf0xv/u7j8MjHM+SJEABWvkA5c6lTADIiA4ApNhhqucBuftpGAH5MehdJtEBgBQ7TPhM6HORE4HO+efxJPbehOmovg8IgMrPwKAOAKTYYZrXgp33Dqtv75n2dhHF6RgB4h9gzzoKlj+XEgEgIzoAkGKHaVwNv8O5Gn7TubzCNSLlDJ4IHTZau4KfLXUeEACVn4FBHQBIscPE7wf0Wvh+QHe6k0LnMPsgRemwv3/HG8kzoZ0zfzY/TjsTOnUuxQNARnQAIMUOk78j4u/mepGLtoYpV3HF6PDR2vk3EYAuO9N25VwLBkDlZ2BQBwBS7DCFe0Jv/uO3HIO+HLpK3buO/c6P3S9S6PhD8mp4O+ftH9p1IX41fPZcigaAjOgAQIodeCpGRYC2jg8s68jJ8KRPn7Ks+b+6mHgpAEl0ACDFDgBUDaCNBcvJ/ae2J624U6y9p+KvBSCJDgCk2AGAqgG0bO07OVxftPaNBjxrg/lnhsP1p6z98dcCkEQHAFLsAECVAFobuGOfjYX5V4NJy9bR0HfCASCJDgCk2AGAKgG04o9zVjx1QtlYACDNDgCk2AGAKgG0bD3rflxNbHCtDfbFd0MDkEQHAFLsAEBVANpa9De9Etx8MvBpGjrL1k/bjz4hTngsj2IAqEmAli1r/pXRVwAkFQBSDADVBCi8x2frH/5iYM3/dfzVbIJJdGATTLEDADW7CTb8NLQN5geAJDoAkGIHAGoYoOGqFZ8EQBIdAEixAwA1fBQsxSQAkugAQIodAKjieUBHIx+dQZFvEgCJdgAgxQ4A1NyZ0PsjH7cDQBIdAEixAwBVAsge7+xNXAtmPXpxuPWutW2SHwCS6ABAih0AqNrFqOuhq+HXBq45q97V8PPxg2AApNEBgBQ7AFDF+wGtH7exOeKOf3yAhutP2/xEbxHkBoAkOgCQYofJAvRZiVT8j2wg3BHRiA4ApNhhogCV8UcOoKt/7t/stXYASKIDACl2mDBAk3hp48kA6FCvd23oPtbVA0ASHQBIsQMAZQG06T2bY+cLtQ0CIIkOAKTYAYBy9gE5D+ewc9sL9eYPQBIdAEixAwDl74T+yDPojjdqzB+AJDoAkGIHABp3FGzzo4d6wfOlqwWAJDoAkGIHACpwGP6L592nu95WcRgEQBIdAEixAwCNHQH97NbYs+3LBoAkOgCQYocYQB+8E81vDQco0Mc5FvbFa73g6c/lAkASHQBIsUMUoA8P9qO56YTBAPl7f7bPBrocPJW+XABIogMAKXaIAfTgPeHs6d9s7gho87lefOfz1UPX/KrC/AFIogMAKXbI3gd05r890O9/1VyAnDOhd0QPv189xAioux0ASLFDBkAfvLjH3gD7yhPxLTCjALrjl7FJm7+odCgegCQ6AJBihzSA3n7c0ydNJnMAai48gUoiPBdMMXGAzrz1YD9Tn6kD9AfnBJwd405D3vxZ1uHxYjttMvYB/fA729tbV779R9UvCWMEJNGBEZBih9hO6Mdy9ZkyQP5u4N64o9+Xe7syvlMHoMjPVtz97AWAJDoAkGKHxGH43X+S2O/TEkBXD/WufcQed4w9/2YKAF2ZA6CudwAgxQ5RgM68mL33Z+oALY3OujnXy/3zbxwg5wBYPJWOf3kBIIkOAKTYIbET+syLd2vsAwoNOuxtMXcI9PnzowvTl3qHz9/qfuFtqO2yGbrr/Fxv54/CL6s6ArqcBOhw4f+URABIogMAKXZIOwrmngHUv/eldgFaCm13feEOPy7PeacGHna/+2X3i2t+tQ3Q7XPuQCX0sqoAbf6Phx/+9tyO2x8O8t34EfkyASCJDgCk2CHjPCD3YNjue39aH6CC94NOAGS7Eht0XJnr3fGxc6PCHT9yAOrtujC0hzyHg02wy/5mUvhlje0DqhUAkugAQIodcq6Gf+vxJs6ErgrQ1UOOM+Gc83f1LDkf/R1E7jApAMj7gfDLGjsMXysAJNEBgBQ75F4LdneL14IlABoNidxLQpc8ZlxtAoBckiIvqwNQcwEgiQ4ApNhB9mr4zediAI1EclXx9xAlAYq8rBpAmz982B782P8bTo3hEABJdAAgxQ6y9wNK7AMaYZIJ0K7Ey6oBdPWQc9g/diye84C63gGAFDvo3hHxXOjsnsu9Oy+MHwH5ANUeAQHQTHYAIMUOugCFTz529vjE9wFlAMQ+oFIzMKgDACl2iAP01t39/o1Pnv3w+xlnIrZyJvR59wBX7ChYBkCNHQVrLgAk0QGAFDvEAHrP3fW8+8kPDyYPgE0boOBaMOfEZkcb7wSfL573zwMKA+RIFQAUfhkAjZuBQR0ASLFD7Fqwx/o3nzhzrH/TiV/v6X+zZYCGnz8UvRo+eib0NkBX3DOgR1eENXAmdCSbv//5Lwr/d6QFgCQ6AJBih/hh+N1Pnj17es8NL9tjodQh0HTvB/TRtyL3A4pcC7YN0PB3c2GAGrgWLJjRf7ZHVlcdBnf+KOs1BQJAEh2KA3T99VOokzsDc1ZLHCCbHnscZDPkfdoyQNNJFkDeRfhL6QfBto4PLOvIyfCkT5+2rPnoJDcAJNGhMEDXX19ToM4sEoEO8U0wZwR09pi9+QVAl112rjijq88Pxe9ItLFgObn/1Pakd90p1vyr8RkBkESHogBdD0BT7JDYCe1c/fWm/b/udpjRAC35+7adfd6JJ4ItW/tODtcXrX0Xgymr1vwzQ2dSGCU3ACTRoThAw5oCdWaRCHSIH4Y/1r/vhI3PTSfeTF6GYRZA/rUgHkPxnUlrA5eZjYXReGdr0Xp26E7yPoYCQBIdSgBUcy9QZxaJQIcYQG89sH0dWOtHwaaVvNtxXD3k7tuOA7Ri7fc/HvWnbCz4I5/l0aQgACTRoQxA9QTqzCIR6JB9Mep9af4YB9AV945DCYCW/WHOqg9R5FsAJNmhIEAePQDUDkDf/8uf+JehpvJjEkDeJtg57y5DsX1AW4v+ptfaYHsnkJfQVtktQdp+9hJxUvC5YNdfv/2/ZOLRvRZsesncCb3LOfzlyBM/CpYD0Mr2mAiApAJAigGgvMPw3t3oN5/v9aI3JwoBFDvmtcpheNUOxTbBbHm8D5OukzsDc1ZL7Dyg3/x4Oz8x+yiYs/nl3u3e2RG9I3pvoswR0OpgPn4MDIBEOpQCqJZAnVkkAh1y7ojYxHlAJVL1v7J+si/F+OF3XrA/XP3z+MOhswBaSRn/AJBIBwBS7BAbAf3gT704N+X4WgMjoG4DlJ30o2DvpvoDQBodygFUR6DOLBKBDln7gN73LsqoB1BHUgGg4PyfldAx961la2/8JGg3ACTRAYAUO2TuhD69p/7V8B1JHkD/FOTjyOTkmdDu1RmxI2J+AEiiAwApdsgEqImLUYfXl0jF/8gGkgWQe1uP9HtCby1ae2PXgq1k+QNAGh0ASLFDzgSlS+EAACAASURBVAioPkBl/NEDKHpX+tj9ONZDV8OvDexxkH95vJP4ydEAJNEBgBQ7ZAHk3haxPkCTeGnjyQDoXK+387s/D/KL2HPB1o/b1BxxxzwuQKsWAGl3KASQcwLi6NOJ1smdgTmrJePJqHf3Ux7LbBZAm8+FngtUKwAk0QGAFDtknge0+89SR0bmAJR8OH3VAJBEh7IAVX9PdmaRCHTIfDJq+paZUQDVeBZhJAAk0QGAFDtM9FqwTgOUeDh95QCQRAcAUuwAQDk7oe9K/0bZAJBEhyIA2W/DUJ2qb8rOLBKBDhO9GLXbANlDoEcamT8ASXQAIMUOE70YtdMAbf7w273ejtsf9vOdC6mvKhIAkugAQIodJnoxaqcBip6HmHwwWPEAkEQHAFLsMNGLUQHIDQBJdAAgxQ4TvRi10wA1FwCS6FAeoKrvys4sEoEOE70YFYDcAJBEBwBS7DDhi1En8dLGkwvQ5sd53y0UAJLoUAGgim/LziwSgQ66F6Nevvb2vwuOPG3+47f/WUOnJackG6CPvuXs/Ln659+rfghsCEAiHQBIsYPuxaiX3SdSjD5v6rqIlGQBtPmat/f56qHezjq/HYAkOgCQYgfdi1Ev966dCy5HX7p2rgWAlnq9nf/K/sWb/6kXfS5hyfBcMIkUeS5Y/HFgPB5s0tG9GPVyb+dDvjpXD/1xY1eGpiT7uWCP+Jeknp/rHU5/UZEwApLoUGAE5LwLo3UqDYE6s0gEOuheC3a5d93r/p/95R3/1QfI2SnTu9bdJbPUO3z+1l7PfWJO+HPnVqpzvd5tb3gzucvGY2f+VaWZT0a9a3RN/Lk69wYCIIkOAKTYQRqg/+tvgy1d8788B17zzwp0Ji/1vjw6QzD8+fDKnPu5+yzBy73b58ZuP+VdDe8DdKXOJiAASXSoBFAlgTqzSAQ6JAD64EVnB/Q9X087BFYFoIL3g04F6P895/7ZXz20y3Pgcm+H86DA8+6Dkpdshy74G0fhz68e6t15Ybj5es/7iQJ7b/LuB+QDVOvmQAAk0QGAFDvEAXpvT7ATOvVKjOkCdOGcuw1m/68HwJJ3g4zN5zx0rvO2xO6Kfh5sLbl307jcK3BTHwAyogMAKXaIAXR6T//Gl/73wRte+vsMgaa6CXbhsoPJ5nPOkfAAgC9+/7cP9TyAXGhcb0Kfj+4jdmXORulykcNXmfeEPjySp9B8sgJAEh0ASLFDDKBj/ZtPeFdhvNlv+Vow52/e/fO/MrcrcODzh/ydQIdHwyEfoNHnthuh60drAOTN2fvF9W5QD0ASHcYD5L4J43UqCNSZRSLQIX4ekDPucQFq/VIM144lmxpnO8xzwNm9vOO27/7yuRyAQhexuwAVgCMDIPu33ekRaLtX5/asACTRoTJApQXqzCIR6BAHyFHH/d/WL0Z1AbIBcbbAPICccYgzntnMByhsRR2AnAeD9b48t+P2W+2Pde7OCkASHSoCVGEI1JlFItAhZwTU9rVgDkA2PP9zLtgSCmyxBzm5m2CHwzOpAdDwd3PBYKrW3aEBSKJDVYDKC9SZRSLQIbEP6Ks+QMcU9gE5u5S/PdoXHAB0uecd+UoFyP4fb7dPMIIa/7uzL0b94mfO+UXX+ic4Vg0ASXQAIMUOMYDe6/f/5IQN0F8+nn5L6GkD5GwGjY6Ge5tgm6/3cgGyx0fXvRFcPVEToGYCQBIdAEixQ/w8oDdteNxLUm9s6Dygyi/1ALoy534ITkR0c93rcXTCnw8v+xtOdw4BaOwMDOowFiDvPZhSp6xAnVkkAh0SZ0K//+9e/vDBe+59IpWf6QNkj3ocW/zD8B89ZG8QPRIcIMsAyL8W7AVvJlUA+uKfkqlxXzIAkuhQB6ByAnVmkQh00L0WbHqJAxS7HT03pZ+NDtUBKvvu7MwiEegAQABkSAcAUuzAk1GTAG3+/uduXu/1dnznv/z85397a2/H934RO6N66/jAso6cjP3oxsL+5PwBSKJDLYBKvT07s0gEOvBk1Myd0PZAKDj953xiALSxYDm5/1R08rIFQKodagBUUqDOLBKBDhlPRr2n37/X2BGQn6XQ6YeJG5ItW/tODtcXrX0XQxO3li0Aku1QB6By78/OLBKBDjlPxWj5pvTTS94Nyfy4l9aHsjZwxz4bC/Ovbk/89CkLgHQ7AJBiBx5MmH8/oLQv7Kz40KxYR0PTrEc/ASDZDjUBKvEG7cwiEegAQNkARUZAUYCWrWfdj6shcFb2vhL5ehQAkuhQC6BSAnVmkQh0yATog8fvM3sTLLjLWeJzO1uL/qbX2iCyEygK0C1B2n70CXEy9rE8+c/g4Qk9EwnnAeU9ludOb8eP84TCyGN5AKiDASDFTBigEikx34aT82DC3m0PP/zwrf6FZdsJARQ9EM8mmG6HcZtg/lsws07xt2hnFolABwAa92jmtPsBFRsBBQEgiQ71ASr6Hu3MIhHoMFGAOpK8+wHd6j4IMX4lKgB1sENdgIoL1JlFItABgCrdjiPtKFja124ASKJDbYAKb4R1ZpEIdJgsQAdKpOJ/ZAOpAFBw/k/4PCAnAKTbAYAUO0wUoDL+dAug1DOhhwCk3KEJgIoJ1JlFItBhwgBN4qWNpwJAW4vW3uS1YACk3KE+QEWHQJ1ZJAIdAKjaLVnXQ1fDrw1G4yAA0u3QAEAFBerMIhHoAEAV7wm9ftz254g7/gGgTnQAIMUOAMRN6Q3p0AxARQTqzCIR6ABAAGRIhyYAKjYE6swiEegAQABkSIdGACokUGcWiUAHAAIgQzoAkGIHAAIgQzoAkGIHAAIgQzo0A1ARgTqzSAQ6ABAAGdKhMYDGCtSZRSLQAYAAyJAODQFUQKDOLBKBDgAEQIZ0aAqg8RthnVkkAh0ACIAM6QBAih10Aboy59+N8NrvXYh/b/Nnzi1Sl+I3KqwYADKiQ4MAjRGoM4tEoEMHAOr1rosLdNl9SAUAdeVdJtGhMYDGCtSZRSLQQRkg352P5hLQAJA/i9ozMKhDcwCN2wjrzCIR6NABgGxuok8FBKDRLGrPwKAOAKTYoQsA+c9F/uhb/g6hzeec7bJdDkBXHur17kjsIiqZiQPU9rOXiJNxzwUr8+AvHhLWVLoDUPCMnF0hgG6fS91FVDKMgIzo0OAIaMxeoM4sEoEOEweo4P2g8zfB7M8u93a8YH9+vuc8sT3YBOtd98bw/Fz0qaXlA0BGdGgSoPyNsM4sEoEO+gBtnnd3Qvs7fOzRz+FtgNxX1N4VBEBGdAAgxQ7Km2CJw/Bf/P5vH+qFAXL+d3jO+1A9AGREh0YByhWoM4tEoEMHALrtBffrzx/yvz4cOwoGQDVmYFCHpgHKFqgzi0SggzJAkZ3Ljkc7bvvuL58DoNAsas/AoA7NApQnUGcWiUCHrgC0+Vxv14VhfB8QANWdgUEdGgYoZyOsM4tEoENXALp6yDn65XwEoNAsas/AoA4ApNihawBd7jnqmArQ9dvxZlGnVsUOiVl0pUPzAGUJ1JlFItChKwB5m2Cbr/d8gJzvzTpA11dKqWoGvdMbByhboM4sEoEOXQHIGfq4R+Rfd7hx9khfd2FGASqkS0MmGfRObx6gzI2wziwSgQ6dAWj40UO93rWP+IOf383NHkAVBjPJNVzSJYPe6QAk2UEXoOmldYDKurM9iyIvKjVYKrkJV7RD7gw6DFD60urMIhHoAECtAlTrT7/mu6whj7ryTp8AQFkCdWaRCHQAoJYAqkmPlwm8y0pb1JV3+iQAytgI68wiEegAQG0AVFsePxN/lxXAqCvv9AkBlLYKO7NIBDoAUEWAto4PLOvIyTGT3MQXmf8n3LV3WeWNtAY7ZM2iyIsmAVC6QF3541foAEDVANpYsJzcfyp3kpckQO6HDr/Lqu8xaq5DZBZFXjQRgFIF6sofv0IHAKoG0LK17+RwfdHadzFvkpfZAyiUnH1GBUHK7ZA/+1K/ejIApe0GElgtnekAQJUAWhu4A52NhflXcyb5mWmAwh2qazGJxItODKDErxJbLdIdAKgSQCvWfv/j0ZxJfowBKJHmFSncYWoApQikvlqUOgBQJYCWrWfdj6u+OumT/JgLUIsdpgfQMCGl6CKR7DBhgEqk6n9l/ZQHaGvR385aGwR7fFIm3RIk9iSS+uMCUiDJB8BE1mHKY3nIFDLdx/IAEAC1FQCSzDQB6khqARQcdU+ZFIQbkkl0GLcJFszLoEUi0AGAJjcCCgJAEh0ASLEDAGkA5O/FTDvs402LvCB42aWsH4pOiv5QsQ5jD0BFO5RLZOZlTz2uOq0gQCmLO28VpKUrf/wKHQBo+kfB/ABQSodyP1pqGgApdgCgiucBHY18TJ/kB4By6wFQcgYABEC5qXUmtB8ASulQ7kdLTQMgxQ4AVAmgrUVrb+zCr5RJfgAotx4AJWcAQACUn/XQpe9rA3fQs555NTzRCGtlFlLtj1w5le4HtH7cxuaIO9jxAQpPiqTtNUb8sFZmIVX+WrUz6TsiEkJIZgCIENJaAIgQ0loAiBDSWgCIENJaAIgQ0loAiBDSWgCIENJaAIgQ0loAiBDSWgCIENJaAIgQ0loAiBDSWgCIENJaJg1Q2/cvIH5YK7OQCf+1tpCJA5Q+2aDb3kl04LE8ih24IyIAGdIBgBQ7ABAAGdIBgBQ7ABAAGdIBgBQ7ABAAGdIBgBQ7ABAAGdIBgBQ7ABAAGdIBgBQ7ABAAGdKhHEAHJl0ndwbmrBYAAiBDOpQB6MABAAKgaQWAjOgAQIodAAiADOlQAqADAARA0wsAGdEBgBQ7ABAAGdIBgBQ7ABAAGdKhFEDDOgJ1ZpEIdAAgADKkAwApdgAgADKkAwApdgAgADKkAwApdgCgKQB0iQgkDlDOSw8ccP6PTCEAxAjIkA6MgBQ7ABAAGdIBgBQ7ABAAGdKhHEB1BOrMIhHoAEAAZEiH4gC59gDQVDoAEAAZ0gGAFDsAEAAZ0gGAFDsAEAAZ0gGAFDsAEAAZ0gGAFDsAEAAZ0gGAFDsAEAAZ0gGAFDsAEAAZ0qEwQB49ADSVDgAEQIZ0ACDFDgAEQIZ0ACDFDgAEQIZ0ACDFDgAEQIZ0ACDFDgAEQIZ0ACDFDgBUEaCt4wPLOnIyPOnTpyxr/q8uJl4KQBIdAEixAwBVA2hjwXJy/6ntSSvuFGvvqfhrAUiiAwApdgCgagAtW/tODtcXrX2jAc/aYP6Z4XD9KWt//LUAJNGhKEC+PAA0lQ4AVAmgtYE79tlYmH81mLRsHQ19JxwAkugAQIodAKgSQCv+OGfFUyeUjQUA0uwAQIodAKgSQMvWs+7H1cQG19pgX3w3NABJdAAgxQ4AVAWgrUV/0yvBzScDn6ahs2z9tP3oE+Kk6GN5/Afy8FyeqQSAmgRo2bLmXxl9BUBSASDFAFBNgMJ7fLb+4S8G1vxfx1/NJphEBzbBFDsAULObYMNPQ9tgfgBIokNJgGoI1JlFItABgBoGaLhqxScBkEQHAFLsAEANHwVLMQmAJDoAkGIHAKp4HtDRyEdnUOSbBECiHQBIsQMANXcm9P7Ix+0AkEQHAFLsAECVALLHO3sT14JZj14cbr1rbZvkB4AkOgCQYgcAqnYx6nroavi1gWvOqnc1/Hz8IBgAaXQAIMUOAFTxfkDrx21sjrjjHx+g4frTNj/RWwS5ASCJDgCk2AGAuCOiIR0ASLEDAAGQIR0ASLEDAAGQIR0ASLEDAAGQIR0ASLEDAAGQIR0KAjRyB4Cm0QGAAMiQDgCk2AGAAMiQDgCk2AGAAMiQDmUBqi5QZxaJQAcAAiBDOgCQYgcAAiBDOgCQYgcAAiBDOgCQYgcAAiBDOgCQYgcAAiBDOgCQYgcAAiBDOgCQYgcAAiBDOhQD6MCBS9ufTrJO7gzMWS0ANAWA2n74G3FS7MGEoecR8mjCKQSAGAEZ0oERkGIHAAIgQzoAkGIHAAIgQzoAkGIHAAIgQzoAkGIHAAIgQzoAkGIHAAIgQzoAkGIHAAIgQzqUBqiyQJ1ZJAIdAAiADOkAQIodAAiADOkAQIodYgB98E40vwWg+gEgiQ4ApNghCtCHB/vR3PAyANUOAEl0ACDFDgAEQIZ0ACDFDqn7gD486METfASgWgEgiQ4ApNgBgADIkA4ApNgBgADIkA4ApNgBgADIkA4ApNgBgCoCtHV8YFlHToYnffq0Zc1HJ7kBIIkOAKTYAYCqAbSxYDm5/9T2pHfdKdb8q/HXApBEBwBS7JAK0JnH+t90Pp7ec9MJAErNsrXv5HB90dp3MZiyas0/M3QmhVFyA0ASHQBIsUP6pRhv9h15bIdujn8HgNysDVxmNhZG452tRevZoTvJ+xgKAEl0ACDFDukAOSckfuXBfn/3kwCUmhVrv//xqD9lY8Ef+SyPJgUBIIkOAKTYIeNi1Pcfc86DvvGniW8AkJtlf5iz6kMU+RYASXYAIMUOmVfDn/nNjxNXogKQn61Ff9NrbbC9E8hLaKvsliBtP/qEOCn0WJ7Io3h4Ls/kw+04GgZoZXtMBEBSASDFxAF66257y+vJsx9+/wkAyk4IoNgxr1UOw6t2KLQJ5pgT+mKCdXJnYM5qiQH0nnsN/O4nPzyYPAAGQKNkjoBWB/PxY2AAJNIBgBQ7RAFyDryfOHOsf9OJX+/xTgUCoLRkAbSSMv4BIJEOAKTYIX4/IOfA++k9N7xsj4VSh0AA5Cb9KNi7qf4AkEYHAFLsEAfIufbizGM2QymXYQDQKMH5PyuhY+5by9be+EnQbgBIogMAKXaIb4K5px4esze/ACgvyTOh3aszLqa+GIAkOgCQYofETuivnnWuxPiqtx0GQBnZWrT2xq4FW8nyB4A0OgCQYof4Yfhj/ftOuBehepeDAVBG1kNXw68N7HGQf3m8k/jJ0QAk0QGAFDvEAHrrge0b0nMULC/rx21qjrhjHhegVQuAtDsAkGKH7Kdi3JfmDwBVCABJdAAgxQ4xgL7/lz/xH0mYyg8AVQkASXQAIMUOXAsGQIZ0KAKQTU64TkWBOrNIBDpkXw3/g6+xE7qZAJBEBwBS7JAEyN8Ee/vgDS8lHw0PQBUCQBIdAEixQ/w8oD3RRzMnjoQBUPkAkEQHAFLskLgYNRpuSt9AAEiiAwApdki7GNX/lDOhGwoASXQAIMUOaRejAlCzASCJDgCk2IHD8ABkSAcAUuwQ2wf0mx9H8xP2AdUPAEl0ACDFDtmXYrjh0cwNBIAkOgCQYofYCOgHf+rl7n7/XzgfEycjAlD5AJBEBwBS7JC1D+j99H3QAFQhACTRAYAUO2TuhOae0I2F54JJpMhzwWJPAuPBYBNPJkAchm8sjIAkOlQYAVUcAnVmkQh0yASIW7I2FgCS6ABAih2yAHIfDgZAjQSAJDoAkGKH2GH4B+/xcne/796eHoAaCABJdAAgxQ6Z5wHt/rPUkREAlQ8ASXQAIMUOsU2wD/y7AaXcCQiAqgaAJDoAkGIHrgUDIEM6AJBiBwACIEM6AJBiBwACIEM6AJBiBwACIEM6AJBiBwACIEM6AJBiBwACIEM6AJBiBwACIEM6FADI8QaAptoBgADIkA4ApNgBgADIkA4ApNgBgADIkA4ApNgBgCoCtHV8YFlHTsambizsT74UgCQ6AJBiBwCqBtDGguXk/lPRycsWAKl2qAJQNYE6s0gEOgBQNYCWrX0nh+uL1r6LoYlbyxYAyXYAIMUOAFQJoLWBO/bZWJh/dXvip09ZAKTbAYAUOwBQJYBWfGhWrKOhadajnwCQbAcAUuwAQJUAWraedT+uhsBZ2ftK5OtRAEiiAwApdgCgKgBtLfqbXmuDyE6gKEC3BGn70SfESYHH8iQfw8ODeSYcAAIgQ1IJIASacACoJkDRA/Fsgul2GL8J5m5vxepU2QbrzCIR6ABAkxsBBQEgiQ41ACqpUGcWiUAHAAIgQzpUBuiAk8br5M7AnNUCQI0dBUv72g0ASXSoCtAB16DG6+TOwJzVAkAVzwM6GvkYBIB0O1QDaOgNf0oJ1JlFItABgJo7E3oIQModKgIU+lajdXJnYM5qAaBKAG0tWnuT14IBkHIHAFLsAEDVLkZdD10NvzYYjYMASLcDACl2AKCK9wNaP277c8Qd/wBQJzrUAqiUQJ1ZJAIdAIg7IhrSAYAUOwAQABnSYSxAnjFZdUoI1JlFItABgADIkA4ApNgBgADIkA4ApNgBgADIkA4ApNgBgADIkA4ApNgBgADIkA4ApNgBgADIkA41ASohUGcWiUAHAAIgQzoAkGIHAAIgQzrUBai4QJ1ZJAIdAAiADOkAQIodAAiADOkAQIodAAiADOlQG6DCAnVmkQh0ACAAMqQDACl2AKApANT2s5eIk7HPBRv7CDCeEdZ8AKgzI6ADmalezaB/ahkBSXYAoA4AlE1PXYYMeqcDkGQHAFIHKA+YS5EXVFDIoHd6AwAVFagzi0SgAwApAzSOlUvJl5ZTyKB3+liA/OUGQFPtAECyABXQJD6H0goZ9E6fKEDRb3RmkQh0ACBNgIopkj6HEgoZ9E5vAqAsgWKLujOLRKADAAkCVHgIk/uPdRGGDHqnTxCg+ELuzCIR6ABAagCV2oIa8/2xChn0Tp8oQEMAqtgBgLQAKrcXudB7JO8omUHv9MkB5E4Mf6czi0SgAwAJAVT6SHqJ90i6Qga90wFIsgMAqQBU5Tyesu+RxGDIoHd6IwClCuRNC32nM4tEoAMAaQBU5SzCqu+yvG2y8unKOx2AJDsAkABAlSmo8x5pSqGuvNMnBlAwaftbnVkkAh0AqG2A6hhQ+z3SwGCoK+/0ZgBKEQiA6nQAoFYBqjkCaehdVouhrrzTJwXQaAIAVekAQO0BVH/7p8l32YGKDHXlnQ5Akh0AqCJAW8cHlnXk5JhJbtIWWTP7gCfwLjtQFqKuvNMnDtD2Z51ZJAIdAKgaQBsLlpP7T+VO8pJ24wfxI1AHkpl6hzKzKPKiZgBKCARAtToAUDWAlq19J4fri9a+i3mTvMQXmf/33IV3WQpEcY668k6fEEDhL4PPO7NIBDoAUCWA1gbuQGdjYf7VnEl+kgC5Hzr1LsuUqEga6pAziyIvagigqEAHAKheBwCqBNCKtd//eDRnkp9ZACiWWh7Fh1ANLIci7DUH0IHUz7e/6sofv0IHAKoE0LL1rPtx1VcnfZKfGQSoVIcmhknl5zcxgMLqJLbHvAtcCv6HZMaYtwYAOSkP0Naiv521Ngj2+KRMuiVI7EkkBf+ASL0kHwATWYeJx/K03deQ8FieRABoJgNAkgGgRGoBFBx1T5kUhCejSnQY+1QMf14GLRKBDgA0uRFQEACS6ABAih0ACIAM6QBAih0AaPpHwfykreHErWVi34m94FLWD0VenfMrLl3KfF1Ksh+OWPaHIjOYyDu9/FGwyA9GF2D2akn9bV3541foAEAVzwM6GvmYPskPAOUGgBIBIADKT60zof0A0DDcoU4AKDmLjnQAoEoAbS1ae2MXfqVM8gNAuQGgRAAIgMZkPXTp+9rAHfSsZ14NTzTCWpmFVPsjV06l+wGtH7exOeIOdnyAwpMiaXuNET+slVlIlb9W7Uz6jogZUViUdEhEoQ4djAoAGd8hFIU6dDAqAGR8h1AU6tDBqACQ8R1CUahDB6MCQMZ3CEWhDh2MCgAZ3yEUhTp0MCoAZHyHUBTq0MGotAQQIYQAECGkxQAQIaS1ABAhpLUAECGktQAQIaS1ABAhpLUAECGktUwXoE+ftqz5Iye9L7aODywr+GK6GT29o6UOW+/av/ZfPjNss0MorBYvYqvFiEwVoHfd2yZa3i3MNrJuojj5bAX3jm2pg3//SOvRFjuEwmrxIrZazMg0AVq15u1/XdYXvbW6bO1Lv4305LNi+b+1nQ7eHbS3/o/3J9/icvDCavEitloMyRQBslew+/Qw+9+WZ/MepDHxrA38d3pLHVb9f1dXnKeotbgcvLBa/GitFlMyRYA2Fvzx7LLz9LAV/xmGyUeJTTr2X9x/9HY2tNMh+Isf+r+7reXgh9Uy+v1Kq8WUtHEUzH2nZz9MdfK/fr+/t7OdDqO/eL9NW8shHlaL5GqZ8bQAkDuszXmc/ISzao/zvV/aUgfnt33ybyxr7yvD1jqkhNUiuVpmPS0A5I5uW1vD7t9Z2+/0497hlqNK73RWi+RqmfVMH6BV9yhDaA1P90inu6GReKdPs8Oqc6T34nDrXSs65Gj3iC+rRXK1zHymDtDqYN7Zum7rn5gV90BLq//Urlr+js1le8yh8k8tq0Vytcx+pg3Qin++W2vjbPfXtjzWD/1akXc6q0VytRiQKQP0rhWcV9HOYYYVaxR7aN1Oh9Go3v1E4nALq0VytZiQqQK0tWztDbaogxMspnuiRfSd3k6H0b+uzoGfljpEC7FahoKrxYxMFaDl0IntrZ5q6g+sW+qw7P+r6u94bf2UW1aLG7XVYkamCdBK+MIa78qbli628d/pLXVYGzhXWXuHW9pdDm5YLcFvl1othmSql2KMxtnOPzXrLV5uHOxabKnD6sC7/PzZFjuMwmoJIrVaTMkUAVq1Iu/04bpz3teRVv6BGR3baKnDunOvmX97MviiteXghNUyitJqMSXcEZEQ0loAiBDSWgCIENJaAIgQ0loAiBDSWgCIENJaAIgQ0loAiBDSWgCIENJaAIgQ0loAiBDSWgCIENJaAIgQ0loAiBDSWgBoZrP5XK933YW2WxCSFwCa2VyZ6/V2/KjtFoTkBYBmNud6Ox/q7Wq7BSF5AaBZjb0Ftutc75pftd2DkJwA0KzG3gI7fLnXO9x2D0JyAkCzmiV79HP1ELuhiXQAaEZj27PL2Q8U2g390bd6vR13Xhhtl33+vLOb+o432qpICADNarytL3s77C5/gnNU3sk1z/sAnev5ubPFmsTwANCMZsllxlYn2AZbsqW5MNx8zTHIAcj2xxn8fPEaApH2AkCzGW8LzGXG2w09Ggud8wCyoS3nvQAAAYxJREFUv/YP0Z/jbCHSWgBoNhOoMnJmtOfHpsn5bPsIvXO8vp2ShADQTGa06WV/4kITUsbdOAurs8ShMtJWAGgm41yGMYqz6WWPe4K90e7Yx/46FE5XJC0FgGYy58K8OOMbACKSAaBZTJQXZ29QsFN6uA0QO35I+wGgWczl3mi843y+K3UfEDt+SPsBoFnMUujIevyol//19kuwiLQXAJrBRC8BW4qeE719HpD/Gq5YJe0FgGYw4S0w9yuHmnPJM6F3vmCPf17nvomkvQDQ7MXepgqf2+x/ubnk7ZLe+Tfxa8Hwh7QWAJq9bG9deTnnD4iSV8PfavNz2wttdCTEDQAZF058JjoBIEOyFIx7uPSLCAWADEnysnhC2g8AGRLbnR2P2OOf83NceEF0AkCm5HJwfepO7sFKZAJAxuSL17yDXuyBJjoBIEJIawEgQkhrASBCSGsBIEJIawEgQkhrASBCSGsBIEJIawEgQkhrASBCSGsBIEJIawEgQkhrASBCSGsBIEJIawEgQkhr+f8Af41STULYWwAAAABJRU5ErkJggg==" width="576" /></p>
</div>
</div>
</div>
<div id="results-and-discussion" class="section level1">
<h1><span class="header-section-number">4</span> Results and discussion</h1>
<div id="baseline-condition-native-and-l2-speakers-lexical-preferences-in-the-absence-of-priming" class="section level2">
<h2><span class="header-section-number">4.1</span> Baseline condition: Native and L2 speakers’ lexical preferences in the absence of priming</h2>
<div id="set-up-data-set-for-glmm" class="section level3">
<h3><span class="header-section-number">4.1.1</span> Set up data set for GLMM</h3>
<pre class="r"><code># Subset data from baseline condition only
d_basel &lt;- d_long %&gt;% 
  dplyr::filter(Condition == &quot;Baseline&quot;) %&gt;%
  dplyr::select(Subject : ClozeScore, VerbType, Used)
# Use contrast coding to compare groups...
contrasts(d_basel$Group) &lt;- - contr.sum(2)
colnames(contrasts(d_basel$Group)) &lt;- &quot;L2_vs_NS&quot;
contrasts(d_basel$Group)</code></pre>
<pre><code>##    L2_vs_NS
## NS       -1
## L2        1</code></pre>
<pre class="r"><code># ... and Verb type
d_basel$VerbType &lt;- factor(d_basel$VerbType)
contrasts(d_basel$VerbType) &lt;- contr.sum(2)
colnames(contrasts(d_basel$VerbType)) &lt;- &quot;M_vs_P&quot;
contrasts(d_basel$VerbType)</code></pre>
<pre><code>##     M_vs_P
## M_V      1
## P_V     -1</code></pre>
<pre class="r"><code># show
head(d_basel, 3); tail(d_basel, 3)</code></pre>
<pre><code>##   Subject Group Condition Trial  VideoName ClozeScore VerbType Used
## 1       2    L2  Baseline     1 prd_balcol         12      P_V    1
## 2       2    L2  Baseline     2 trm_voidun         12      P_V    0
## 3       2    L2  Baseline     3 prd_balnei         12      P_V    1</code></pre>
<pre><code>##      Subject Group Condition Trial  VideoName ClozeScore VerbType Used
## 2550  NS_203    NS  Baseline    30 prd_balnei         NA      M_V    1
## 2551  NS_203    NS  Baseline    31 trt_pourou         NA      M_V    1
## 2552  NS_203    NS  Baseline    32 pge_tabmai         NA      M_V    0</code></pre>
</div>
<div id="reported-in-main-text" class="section level3">
<h3><span class="header-section-number">4.1.2</span> Reported in main text</h3>
<p>Table 3 in main text:</p>
<pre class="r"><code># Descriptive data for all analysed conditions (only relevant comparisons).
# Note the table was appropriately formatted in report.
d_mod %&gt;%
  group_by(VerbType, Group, Condition) %&gt;%
  summarise(Occurrences = sum(Used),
            TotalN = n(),
            Percentage = round(100 * sum(Used) / n(), 1)) %&gt;%
  kable</code></pre>
<table>
<thead>
<tr class="header">
<th align="left">VerbType</th>
<th align="left">Group</th>
<th align="left">Condition</th>
<th align="right">Occurrences</th>
<th align="right">TotalN</th>
<th align="right">Percentage</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">M_V</td>
<td align="left">NS</td>
<td align="left">Baseline</td>
<td align="right">219</td>
<td align="right">639</td>
<td align="right">34.3</td>
</tr>
<tr class="even">
<td align="left">M_V</td>
<td align="left">NS</td>
<td align="left">Manner</td>
<td align="right">383</td>
<td align="right">672</td>
<td align="right">57.0</td>
</tr>
<tr class="odd">
<td align="left">M_V</td>
<td align="left">L2</td>
<td align="left">Baseline</td>
<td align="right">89</td>
<td align="right">637</td>
<td align="right">14.0</td>
</tr>
<tr class="even">
<td align="left">M_V</td>
<td align="left">L2</td>
<td align="left">Manner</td>
<td align="right">373</td>
<td align="right">667</td>
<td align="right">55.9</td>
</tr>
<tr class="odd">
<td align="left">P_V</td>
<td align="left">NS</td>
<td align="left">Baseline</td>
<td align="right">361</td>
<td align="right">639</td>
<td align="right">56.5</td>
</tr>
<tr class="even">
<td align="left">P_V</td>
<td align="left">NS</td>
<td align="left">Path</td>
<td align="right">407</td>
<td align="right">575</td>
<td align="right">70.8</td>
</tr>
<tr class="odd">
<td align="left">P_V</td>
<td align="left">L2</td>
<td align="left">Baseline</td>
<td align="right">385</td>
<td align="right">637</td>
<td align="right">60.4</td>
</tr>
<tr class="even">
<td align="left">P_V</td>
<td align="left">L2</td>
<td align="left">Path</td>
<td align="right">523</td>
<td align="right">574</td>
<td align="right">91.1</td>
</tr>
</tbody>
</table>
<pre class="r"><code># load model or fit
# First define the expression to be passed to load_or_fit()
glmm_basel.expr &lt;- 
&quot;glmer(Used ~ VerbType * Group + (1 + VerbType | Subject) +
  (1 + VerbType * Group | VideoName),
data = d_basel, family = &#39;binomial&#39;,
control = glmerControl(optimizer=&#39;bobyqa&#39;, optCtrl=list(maxfun=2e5)))&quot;
# Now pass it to the function (see source code for the inner workings)
load_or_fit(&quot;glmm_basel&quot;, glmm_basel.expr)</code></pre>
<p>Fixed effects estimates:</p>
<pre class="r"><code># output table
glmm_tb(glmm_basel)</code></pre>
<table>
<thead>
<tr class="header">
<th></th>
<th align="right">Estimate</th>
<th align="right">SE</th>
<th align="right">z-value</th>
<th align="right">p-value</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>(Intercept)</td>
<td align="right">-0.659</td>
<td align="right">0.146</td>
<td align="right">-4.516</td>
<td align="right">0.000</td>
</tr>
<tr class="even">
<td>VerbTypeM_vs_P</td>
<td align="right">-1.226</td>
<td align="right">0.307</td>
<td align="right">-3.989</td>
<td align="right">0.000</td>
</tr>
<tr class="odd">
<td>GroupL2_vs_NS</td>
<td align="right">-0.311</td>
<td align="right">0.141</td>
<td align="right">-2.204</td>
<td align="right">0.028</td>
</tr>
<tr class="even">
<td>VerbTypeM_vs_P:GroupL2_vs_NS</td>
<td align="right">-0.423</td>
<td align="right">0.294</td>
<td align="right">-1.437</td>
<td align="right">0.151</td>
</tr>
</tbody>
</table>
<p>Plot the results:</p>
<pre class="r"><code># the function is defined in analysis/functions/plot_glmm_fnc.R
plot_basel(glmm_basel, d_basel, nb_sims = 500)</code></pre>
<p><img src="data:image/png;base64,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" width="480" /></p>
<pre class="r"><code># save to disk
ggsave(&quot;myfigures/Figure3.pdf&quot;, height = 4, width = 5)
ggsave(&quot;myfigures/Figure3.tiff&quot;, height = 4, width = 5, units = &#39;in&#39;, dpi = 600)</code></pre>
</div>
<div id="reported-in-supplementary-online-material" class="section level3">
<h3><span class="header-section-number">4.1.3</span> Reported in Supplementary Online Material</h3>
<p>Model summary:</p>
<pre class="r"><code>summary(glmm_basel)</code></pre>
<pre><code>## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: 
## Used ~ VerbType * Group + (1 + VerbType | Subject) + (1 + VerbType *  
##     Group | VideoName)
##    Data: d_basel
## Control: 
## glmerControl(optimizer = &quot;bobyqa&quot;, optCtrl = list(maxfun = 2e+05))
## 
##      AIC      BIC   logLik deviance df.resid 
##   2378.3   2477.7  -1172.2   2344.3     2535 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -6.3134 -0.4718 -0.1630  0.4942  4.8860 
## 
## Random effects:
##  Groups    Name                         Variance Std.Dev. Corr       
##  Subject   (Intercept)                  0.597562 0.77302             
##            VerbTypeM_vs_P               3.100589 1.76085  -0.15      
##  VideoName (Intercept)                  0.021985 0.14827             
##            VerbTypeM_vs_P               0.347587 0.58956   0.18      
##            GroupL2_vs_NS                0.007223 0.08499   0.71  0.82
##            VerbTypeM_vs_P:GroupL2_vs_NS 0.124765 0.35322   0.90 -0.26
##       
##       
##       
##       
##       
##       
##   0.33
## Number of obs: 2552, groups:  Subject, 40; VideoName, 32
## 
## Fixed effects:
##                              Estimate Std. Error z value Pr(&gt;|z|)    
## (Intercept)                   -0.6586     0.1458  -4.516 6.31e-06 ***
## VerbTypeM_vs_P                -1.2260     0.3073  -3.989 6.63e-05 ***
## GroupL2_vs_NS                 -0.3113     0.1413  -2.204   0.0276 *  
## VerbTypeM_vs_P:GroupL2_vs_NS  -0.4233     0.2945  -1.437   0.1506    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## Correlation of Fixed Effects:
##             (Intr) VrTM__P GL2__N
## VrbTypM_v_P -0.064               
## GrpL2_vs_NS  0.065  0.051        
## VTM__P:GL2_  0.055 -0.006  -0.091
## convergence code: 0
## singular fit</code></pre>
</div>
</div>
<div id="trial-by-trial-adaptation-of-native-speakers-question-1" class="section level2">
<h2><span class="header-section-number">4.2</span> Trial-by-trial adaptation of native speakers (Question 1)</h2>
<div id="set-up-data-frame" class="section level3">
<h3><span class="header-section-number">4.2.1</span> Set up data frame:</h3>
<pre class="r"><code># Subset data to native speaker data only
d_ns &lt;- d_mod %&gt;% dplyr::filter(Group == &quot;NS&quot;)
# drop unused factors for subject (important for gam fitting)
d_ns$Subject &lt;- factor(d_ns$Subject)
# note log-odds of path verbs in baseline condition becomes the reference level
contrasts(d_ns$VbType_Cond)</code></pre>
<pre><code>##              P_V.Path M_V.Baseline M_V.Manner
## P_V.Baseline        0            0          0
## P_V.Path            1            0          0
## M_V.Baseline        0            1          0
## M_V.Manner          0            0          1</code></pre>
</div>
<div id="gamm-specification-and-fitting" class="section level3">
<h3><span class="header-section-number">4.2.2</span> GAMM specification and fitting</h3>
<p>First, we fit a more complex GAMM with by-subject and by-item factor smooths for Trial (<code>s(Trial, Subject, bs = &#39;fs&#39;)</code> and <code>s(Trial, VideoName, bs = &#39;fs&#39;)</code>, respectively).</p>
<pre class="r"><code># the expression that is passed to load_or_fit()
gam_ns_itemsmooth.expr &lt;- 
&quot;bam(Used ~ VbType_Cond + s(Trial, by = VbType_Cond) + 
  s(Trial, Subject, bs = &#39;fs&#39;) + s(Trial, VideoName, bs = &#39;fs&#39;),
data = d_ns,
family = &#39;binomial&#39;)&quot;
# load model or fit (fitting took about 10 minutes on my laptop)
load_or_fit(&quot;gam_ns_itemsmooth&quot;, gam_ns_itemsmooth.expr)</code></pre>
<p>Model summary:</p>
<pre class="r"><code>summary(gam_ns_itemsmooth)</code></pre>
<pre><code>## 
## Family: binomial 
## Link function: logit 
## 
## Formula:
## Used ~ VbType_Cond + s(Trial, by = VbType_Cond) + s(Trial, Subject, 
##     bs = &quot;fs&quot;) + s(Trial, VideoName, bs = &quot;fs&quot;)
## 
## Parametric coefficients:
##                         Estimate Std. Error z value Pr(&gt;|z|)  
## (Intercept)              0.39803    0.40802   0.976   0.3293  
## VbType_CondP_V.Path      0.95732    0.59769   1.602   0.1092  
## VbType_CondM_V.Baseline -1.46061    0.58190  -2.510   0.0121 *
## VbType_CondM_V.Manner    0.04903    0.57020   0.086   0.9315  
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## Approximate significance of smooth terms:
##                                        edf  Ref.df  Chi.sq p-value    
## s(Trial):VbType_CondP_V.Baseline 1.000e+00   1.000   9.301 0.00229 ** 
## s(Trial):VbType_CondP_V.Path     1.596e+00   1.978  12.664 0.00135 ** 
## s(Trial):VbType_CondM_V.Baseline 1.000e+00   1.000  10.037 0.00153 ** 
## s(Trial):VbType_CondM_V.Manner   2.060e+00   2.571   5.087 0.13743    
## s(Trial,Subject)                 1.031e+02 782.000 641.597 &lt; 2e-16 ***
## s(Trial,VideoName)               1.578e-04 318.000   0.000 0.66302    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## R-sq.(adj) =  0.414   Deviance explained = 38.6%
## fREML = 3445.1  Scale est. = 1         n = 2525</code></pre>
<p>We can see that the by-subject factor smooth for Trial (<code>s(Trial, Subject)</code>) captures a fair amount of variance, whereas the by-item factor smooth for Trial (<code>s(Trial, VideoName)</code>) does not. Considering the interpretation of each of these factor smooths, this makes sense. By-subject factor smooths capture how individual speakers are modifying their encoding choices as the experiment progresses. One would indeed expect those preferences to change at the individual level above and beyond the population-level estimates. For the items, however, the factor smooth is modelling the same type of changes at the level of the items (i.e., the individual events being seen). Intuitively one expects less variation here: one would expect that some items elicit more path encoding while others more manner encoding, but it is less likely that the encoding preference associated to an item <em>changes</em> over the course of the experiment. That effect should a priori be small if at all existent. This is how we interpret the small variance associated to the by-item factor smooth for Trial.</p>
<p>More practically, since factor smooths will take up many degrees of freedom and slow down model fitting (here, it took twice the amount of time), let us compare this model with another that has by-item random intercepts instead:</p>
<pre class="r"><code># the expression that is passed to load_or_fit()
gam_ns.expr &lt;- 
&quot;bam(Used ~ VbType_Cond + s(Trial, by = VbType_Cond) + s(Trial, Subject, bs = &#39;fs&#39;) +
  s(VideoName, bs = &#39;re&#39;),
data = d_ns,
family = &#39;binomial&#39;)&quot;
# load model or fit (fitting took about 4.5 minutes on my laptop)
load_or_fit(&quot;gam_ns&quot;, gam_ns.expr)</code></pre>
<pre class="r"><code>summary(gam_ns)</code></pre>
<pre><code>## 
## Family: binomial 
## Link function: logit 
## 
## Formula:
## Used ~ VbType_Cond + s(Trial, by = VbType_Cond) + s(Trial, Subject, 
##     bs = &quot;fs&quot;) + s(VideoName, bs = &quot;re&quot;)
## 
## Parametric coefficients:
##                         Estimate Std. Error z value Pr(&gt;|z|)  
## (Intercept)              0.39803    0.40802   0.976   0.3293  
## VbType_CondP_V.Path      0.95732    0.59769   1.602   0.1092  
## VbType_CondM_V.Baseline -1.46061    0.58190  -2.510   0.0121 *
## VbType_CondM_V.Manner    0.04903    0.57020   0.086   0.9315  
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## Approximate significance of smooth terms:
##                                        edf  Ref.df  Chi.sq p-value    
## s(Trial):VbType_CondP_V.Baseline 1.000e+00   1.000   9.301 0.00229 ** 
## s(Trial):VbType_CondP_V.Path     1.596e+00   1.978  12.664 0.00135 ** 
## s(Trial):VbType_CondM_V.Baseline 1.000e+00   1.000  10.037 0.00153 ** 
## s(Trial):VbType_CondM_V.Manner   2.060e+00   2.571   5.087 0.13743    
## s(Trial,Subject)                 1.031e+02 782.000 641.597 &lt; 2e-16 ***
## s(VideoName)                     1.529e-04  31.000   0.000 0.54544    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## R-sq.(adj) =  0.414   Deviance explained = 38.6%
## fREML = 3445.1  Scale est. = 1         n = 2525</code></pre>
<p>Note that the two models are identical in all coefficient estimates, except for a very subtle difference for the estimated random effects of items (last line: <code>VideoName</code>). We thus keep the simpler model.</p>
<p>In summary, the model is specified as:</p>
<p><code>DV ~ VbType_Cond + s(Trial, by = VbType_Cond) + s(Trial, Subject, bs = &#39;fs&#39;) + s(VideoName, bs = &#39;re&#39;)</code></p>
<p>Predictors are:</p>
<ul>
<li><code>VbType_Cond</code>: VerbType-Condition interaction as a fixed effect. The four levels of this variable decompose into two crossed factors:
<ul>
<li><code>VerbType</code>: Indicator variable that defines what is being measured by the DV, either the occurrence of path verbs or of manner verbs</li>
<li><code>Condition</code>: Primed vs baseline</li>
</ul></li>
<li><code>s(Trial, by = VbType_Cond)</code>: A smooth function of <code>Trial</code> allowing the function to differ for each level of Group-Condition (thin plate regression splines, the default)</li>
<li><code>s(Trial, Subject, bs = &#39;fs&#39;)</code>: Factor smooths for <code>Subject</code> to capture non-linear random effects of speakers</li>
<li><code>s(VideoName, bs = &#39;re&#39;)</code>: Random intercepts by items (i.e., <code>VideoName</code>)</li>
</ul>
</div>
<div id="reported-in-main-text-1" class="section level3">
<h3><span class="header-section-number">4.2.3</span> Reported in main text</h3>
<p>Plot differences between conditions (model estimates):</p>
<pre class="r"><code>plot_gam_main(gam_ns, &quot;NS&quot;)</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code># On my old computer, the above call threw an warning/error; this was solved by
# the following argument setting:
# plot_gam_main(gam_ns, &quot;NS&quot;, mark.diff = FALSE)</code></pre>
<pre class="r"><code># Save to disk
tiff(&quot;myfigures/Figure4.tiff&quot;, width = 6, height = 5, units = &quot;in&quot;, res = 600)
plot_gam_main(gam_ns, &quot;NS&quot;)</code></pre>
<pre><code>## Summary:
##  * VbType_Cond : factor; set to the value(s): P_V.Baseline. 
##  * Trial : numeric predictor; with 30 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): NS_1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valnei. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
## </code></pre>
<pre><code>## Summary:
##  * VbType_Cond : factor; set to the value(s): P_V.Path. 
##  * Trial : numeric predictor; with 30 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): NS_1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valnei. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
##  
## Summary:
##  * VbType_Cond : factor; set to the value(s): M_V.Baseline. 
##  * Trial : numeric predictor; with 30 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): NS_1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valnei. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
## </code></pre>
<pre><code>## Summary:
##  * VbType_Cond : factor; set to the value(s): M_V.Manner. 
##  * Trial : numeric predictor; with 30 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): NS_1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valnei. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
##  
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): NS_1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valnei. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
## </code></pre>
<pre><code>## 
## Difference is not significant.
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): NS_1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valnei. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
## </code></pre>
<pre><code>## 
## Trial window(s) of significant difference(s):
##  6.636364 - 32.000000</code></pre>
<pre class="r"><code>dev.off()</code></pre>
<pre><code>## png 
##   2</code></pre>
<pre class="r"><code>pdf(&quot;myfigures/Figure4.pdf&quot;, width = 6, height = 5)
plot_gam_main(gam_ns, &quot;NS&quot;)</code></pre>
<pre><code>## Summary:
##  * VbType_Cond : factor; set to the value(s): P_V.Baseline. 
##  * Trial : numeric predictor; with 30 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): NS_1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valnei. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
## </code></pre>
<pre><code>## Summary:
##  * VbType_Cond : factor; set to the value(s): P_V.Path. 
##  * Trial : numeric predictor; with 30 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): NS_1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valnei. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
##  
## Summary:
##  * VbType_Cond : factor; set to the value(s): M_V.Baseline. 
##  * Trial : numeric predictor; with 30 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): NS_1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valnei. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
## </code></pre>
<pre><code>## Summary:
##  * VbType_Cond : factor; set to the value(s): M_V.Manner. 
##  * Trial : numeric predictor; with 30 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): NS_1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valnei. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
##  
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): NS_1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valnei. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
## </code></pre>
<pre><code>## 
## Difference is not significant.
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): NS_1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valnei. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
## </code></pre>
<pre><code>## 
## Trial window(s) of significant difference(s):
##  6.636364 - 32.000000</code></pre>
<pre class="r"><code>dev.off()</code></pre>
<pre><code>## png 
##   2</code></pre>
</div>
<div id="reported-in-supplementary-online-material-1" class="section level3">
<h3><span class="header-section-number">4.2.4</span> Reported in Supplementary Online Material</h3>
<div id="gamm-output" class="section level4">
<h4><span class="header-section-number">4.2.4.1</span> GAMM output</h4>
<p>Summary of the GAMM for trial-by-trial adaptation in native speakers:</p>
<pre class="r"><code>itsadug::gamtabs(gam_ns, type = &quot;HTML&quot;)</code></pre>
<!-- html table generated in R 3.5.2 by xtable 1.8-4 package -->
<!-- Fri Jun 07 14:58:34 2019 -->
<table border="1">
<caption align="bottom">
</caption>
<tr>
<td>
A. parametric coefficients
</td>
<td align="right">
Estimate
</td>
<td align="right">
Std. Error
</td>
<td align="right">
t-value
</td>
<td align="right">
p-value
</td>
</tr>
<tr>
<td>
(Intercept)
</td>
<td align="right">
0.3980
</td>
<td align="right">
0.4080
</td>
<td align="right">
0.9755
</td>
<td align="right">
0.3293
</td>
</tr>
<tr>
<td>
VbType_CondP_V.Path
</td>
<td align="right">
0.9573
</td>
<td align="right">
0.5977
</td>
<td align="right">
1.6017
</td>
<td align="right">
0.1092
</td>
</tr>
<tr>
<td>
VbType_CondM_V.Baseline
</td>
<td align="right">
-1.4606
</td>
<td align="right">
0.5819
</td>
<td align="right">
-2.5101
</td>
<td align="right">
0.0121
</td>
</tr>
<tr>
<td>
VbType_CondM_V.Manner
</td>
<td align="right">
0.0490
</td>
<td align="right">
0.5702
</td>
<td align="right">
0.0860
</td>
<td align="right">
0.9315
</td>
</tr>
<tr>
<td>
B. smooth terms
</td>
<td align="right">
edf
</td>
<td align="right">
Ref.df
</td>
<td align="right">
F-value
</td>
<td align="right">
p-value
</td>
</tr>
<tr>
<td>
s(Trial):VbType_CondP_V.Baseline
</td>
<td align="right">
1.0000
</td>
<td align="right">
1.0000
</td>
<td align="right">
9.3006
</td>
<td align="right">
0.0023
</td>
</tr>
<tr>
<td>
s(Trial):VbType_CondP_V.Path
</td>
<td align="right">
1.5965
</td>
<td align="right">
1.9777
</td>
<td align="right">
12.6636
</td>
<td align="right">
0.0013
</td>
</tr>
<tr>
<td>
s(Trial):VbType_CondM_V.Baseline
</td>
<td align="right">
1.0000
</td>
<td align="right">
1.0000
</td>
<td align="right">
10.0372
</td>
<td align="right">
0.0015
</td>
</tr>
<tr>
<td>
s(Trial):VbType_CondM_V.Manner
</td>
<td align="right">
2.0599
</td>
<td align="right">
2.5715
</td>
<td align="right">
5.0871
</td>
<td align="right">
0.1374
</td>
</tr>
<tr>
<td>
s(Trial,Subject)
</td>
<td align="right">
103.0745
</td>
<td align="right">
782.0000
</td>
<td align="right">
641.5972
</td>
<td align="right">
&lt; 0.0001
</td>
</tr>
<tr>
<td>
s(VideoName)
</td>
<td align="right">
0.0002
</td>
<td align="right">
31.0000
</td>
<td align="right">
0.0001
</td>
<td align="right">
0.5454
</td>
</tr>
<a name="tab.gam"></a>
</table>
</div>
<div id="follow-up-analysis-glmm" class="section level4">
<h4><span class="header-section-number">4.2.4.2</span> Follow-up analysis (GLMM)</h4>
<p>Rationale:</p>
<p>Based on the GAMM analysis, we can see that for native speakers there was a significant adaptation effect for Manner, but not for Path verbs. However, we cannot conclude from one pattern being significant and the other not that the two <em>differ</em> significantly. Unfortunately, this type of interaction analysis in a factorial design is difficult to implement in the GAM framework we are using (see, e.g., <a href="http://grokbase.com/t/r/r-help/113qaadxt4/r-how-to-add-in-interaction-terms-in-gamm">here</a>). We therefore carry out a follow-up mixed logistic regression analysis to address this interaction, while noting that this is not an ideal solution: we lose power, either because we model the effect wrongly (assuming linerarity in a relation that is non-linear) and thus we may not capture the actual signal, or because we reduce the number of observations to include only data points that <em>do</em> have a linear relationship between predictors and dependent variable. Here, we adopt this latter approach.</p>
<p>Since GLMMs assume linearity in log-odds space, We have to subset the data to use only those trials that show an approximately linear relation with the outcome variable (based on visual inspection). We keep trials 15 through 32.</p>
<p>Subset data:</p>
<pre class="r"><code>d_ns_lin &lt;- d_ns %&gt;% dplyr::filter(Trial &gt;= 15)</code></pre>
<p>Verify factors are contrast coded and <code>cTrial</code> is centred:</p>
<pre class="r"><code># Verify factors are contrast coded:
contrasts(d_ns_lin$Condition_bin)</code></pre>
<pre><code>##          Primed_vs_Baseline
## Baseline                 -1
## Primed                    1</code></pre>
<pre class="r"><code>contrasts(d_ns_lin$VerbType)</code></pre>
<pre><code>##     M_vs_P
## M_V      1
## P_V     -1</code></pre>
<pre class="r"><code>d_ns_lin$cTrial &lt;- d_ns_lin$Trial - mean(d_ns_lin$Trial)  # centre
round(mean(d_ns_lin$cTrial), 7)  # check</code></pre>
<pre><code>## [1] 0</code></pre>
<p>In these and all the following GLMMs, we try to stay conceptually close to the random effects structure used in the GAMMs. This means we will generally try to fit a model with random by-item and by-subject intercepts, as well as a random by-subject slope for <code>cTrial</code> (corresponding to the smooth term <code>s(Trial, Subject, bs = &#39;fs&#39;)</code> in the GAMMs).</p>
<p>Fit the model:</p>
<pre class="r"><code># Random by-subject/item intercepts and random by-subject slope for cTrial.
# Expression to be passed to the load_or_fit function:
glmm_ns_lin.expr &lt;- 
&quot;glmer(Used ~ Condition_bin * VerbType * cTrial + (1 + cTrial | Subject) +
  (1 | VideoName),
data = d_ns_lin, family = &#39;binomial&#39;,
control = glmerControl(optimizer=&#39;bobyqa&#39;, optCtrl=list(maxfun=2e5)))&quot;
# load model or fit it
load_or_fit(&quot;glmm_ns_lin&quot;, glmm_ns_lin.expr)</code></pre>
<p>Model summary:</p>
<pre class="r"><code>summary(glmm_ns_lin)</code></pre>
<pre><code>## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: 
## Used ~ Condition_bin * VerbType * cTrial + (1 + cTrial | Subject) +  
##     (1 | VideoName)
##    Data: d_ns_lin
## Control: 
## glmerControl(optimizer = &quot;bobyqa&quot;, optCtrl = list(maxfun = 2e+05))
## 
##      AIC      BIC   logLik deviance df.resid 
##   1338.6   1401.7   -657.3   1314.6     1408 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.5388 -0.4893  0.1218  0.4862  3.2109 
## 
## Random effects:
##  Groups    Name        Variance Std.Dev. Corr
##  Subject   (Intercept) 5.285923 2.29911      
##            cTrial      0.004483 0.06696  0.89
##  VideoName (Intercept) 0.000000 0.00000      
## Number of obs: 1420, groups:  Subject, 79; VideoName, 32
## 
## Fixed effects:
##                                                       Estimate Std. Error
## (Intercept)                                            0.44254    0.27849
## Condition_binPrimed_vs_Baseline                        0.87788    0.28038
## VerbTypeM_vs_P                                        -1.14788    0.28170
## cTrial                                                 0.03211    0.01680
## Condition_binPrimed_vs_Baseline:VerbTypeM_vs_P         0.25768    0.27844
## Condition_binPrimed_vs_Baseline:cTrial                 0.04387    0.01794
## VerbTypeM_vs_P:cTrial                                 -0.06337    0.01835
## Condition_binPrimed_vs_Baseline:VerbTypeM_vs_P:cTrial  0.01742    0.01673
##                                                       z value Pr(&gt;|z|)    
## (Intercept)                                             1.589 0.112042    
## Condition_binPrimed_vs_Baseline                         3.131 0.001742 ** 
## VerbTypeM_vs_P                                         -4.075  4.6e-05 ***
## cTrial                                                  1.911 0.056023 .  
## Condition_binPrimed_vs_Baseline:VerbTypeM_vs_P          0.925 0.354730    
## Condition_binPrimed_vs_Baseline:cTrial                  2.446 0.014453 *  
## VerbTypeM_vs_P:cTrial                                  -3.454 0.000552 ***
## Condition_binPrimed_vs_Baseline:VerbTypeM_vs_P:cTrial   1.041 0.297815    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## Correlation of Fixed Effects:
##                (Intr) Cn_P__B VrTM__P cTrial Cn_P__B:VTM__P C_P__B:T
## Cndtn_bP__B     0.027                                               
## VrbTypM_v_P    -0.048 -0.084                                        
## cTrial          0.461  0.028  -0.046                                
## Cn_P__B:VTM__P -0.059 -0.030   0.008  -0.037                        
## Cndt_P__B:T     0.029  0.452  -0.083   0.094 -0.008                 
## VrbTyM__P:T    -0.043 -0.079   0.458  -0.124 -0.006         -0.276  
## C_P__B:VTM__P: -0.037 -0.009  -0.008  -0.089  0.460          0.030  
##                VTM__P:
## Cndtn_bP__B           
## VrbTypM_v_P           
## cTrial                
## Cn_P__B:VTM__P        
## Cndt_P__B:T           
## VrbTyM__P:T           
## C_P__B:VTM__P: -0.057 
## convergence code: 0
## singular fit</code></pre>
</div>
</div>
</div>
<div id="trial-by-trial-adaptation-of-l2-learners-question-2" class="section level2">
<h2><span class="header-section-number">4.3</span> Trial-by-trial adaptation of L2 learners (Question 2)</h2>
<div id="set-up-data-frame-1" class="section level3">
<h3><span class="header-section-number">4.3.1</span> Set up data frame:</h3>
<pre class="r"><code>d_l2 &lt;- d_mod %&gt;% dplyr::filter(Group == &quot;L2&quot;)
# drop unused factors for subject (I think this is important for gam fitting)
d_l2$Subject &lt;- factor(d_l2$Subject)
# note log-odds of path verbs in baseline condition becomes the reference level
contrasts(d_l2$VbType_Cond)</code></pre>
<pre><code>##              P_V.Path M_V.Baseline M_V.Manner
## P_V.Baseline        0            0          0
## P_V.Path            1            0          0
## M_V.Baseline        0            1          0
## M_V.Manner          0            0          1</code></pre>
</div>
<div id="gamm-specification-and-fitting-1" class="section level3">
<h3><span class="header-section-number">4.3.2</span> GAMM specification and fitting</h3>
<p>We proceed analogously as for native speakers (Question 1). We start by fitting a more complex random structure, we then inspect the coefficients, and if warranted, we then simplify it and check if anything changes.</p>
<pre class="r"><code># the expression that is passed to load_or_fit()
gam_l2_itemsmooth.expr &lt;- 
&quot;bam(Used ~ VbType_Cond + s(Trial, by = VbType_Cond) + 
  s(Trial, Subject, bs = &#39;fs&#39;) + s(Trial, VideoName, bs = &#39;fs&#39;),
data = d_l2,
family = &#39;binomial&#39;)&quot;
# load model or fit (fitting took about 13 minutes on my laptop)
load_or_fit(&quot;gam_l2_itemsmooth&quot;, gam_l2_itemsmooth.expr)</code></pre>
<p>Model summary:</p>
<pre class="r"><code>summary(gam_l2_itemsmooth)</code></pre>
<pre><code>## 
## Family: binomial 
## Link function: logit 
## 
## Formula:
## Used ~ VbType_Cond + s(Trial, by = VbType_Cond) + s(Trial, Subject, 
##     bs = &quot;fs&quot;) + s(Trial, VideoName, bs = &quot;fs&quot;)
## 
## Parametric coefficients:
##                         Estimate Std. Error z value Pr(&gt;|z|)    
## (Intercept)               0.5948     0.4115   1.446 0.148288    
## VbType_CondP_V.Path       2.4370     0.6268   3.888 0.000101 ***
## VbType_CondM_V.Baseline  -2.9600     0.5939  -4.984 6.22e-07 ***
## VbType_CondM_V.Manner    -0.1652     0.5764  -0.287 0.774423    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## Approximate significance of smooth terms:
##                                      edf  Ref.df  Chi.sq  p-value    
## s(Trial):VbType_CondP_V.Baseline   2.555   3.179   7.556   0.0626 .  
## s(Trial):VbType_CondP_V.Path       3.384   4.190  33.301 1.61e-06 ***
## s(Trial):VbType_CondM_V.Baseline   1.000   1.000   1.901   0.1680    
## s(Trial):VbType_CondM_V.Manner     1.588   1.954   9.141   0.0165 *  
## s(Trial,Subject)                 108.594 782.000 535.535  &lt; 2e-16 ***
## s(Trial,VideoName)                 0.991 318.000   1.024   0.3914    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## R-sq.(adj) =  0.593   Deviance explained =   55%
## fREML = 3304.9  Scale est. = 1         n = 2515</code></pre>
<pre class="r"><code># the expression that is passed to load_or_fit()
gam_l2.expr &lt;- 
&quot;bam(Used ~ VbType_Cond + s(Trial, by = VbType_Cond) + s(Trial, Subject, bs = &#39;fs&#39;) +
  s(VideoName, bs = &#39;re&#39;),
data = d_l2,
family = &#39;binomial&#39;)&quot;
# load model or fit (fitting took about 5 minutes on my laptop)
load_or_fit(&quot;gam_l2&quot;, gam_l2.expr)</code></pre>
<pre class="r"><code>summary(gam_l2)</code></pre>
<pre><code>## 
## Family: binomial 
## Link function: logit 
## 
## Formula:
## Used ~ VbType_Cond + s(Trial, by = VbType_Cond) + s(Trial, Subject, 
##     bs = &quot;fs&quot;) + s(VideoName, bs = &quot;re&quot;)
## 
## Parametric coefficients:
##                         Estimate Std. Error z value Pr(&gt;|z|)    
## (Intercept)               0.5949     0.4116   1.445 0.148352    
## VbType_CondP_V.Path       2.4372     0.6270   3.887 0.000101 ***
## VbType_CondM_V.Baseline  -2.9603     0.5941  -4.983 6.26e-07 ***
## VbType_CondM_V.Manner    -0.1649     0.5765  -0.286 0.774884    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## Approximate significance of smooth terms:
##                                        edf  Ref.df  Chi.sq  p-value    
## s(Trial):VbType_CondP_V.Baseline 2.565e+00   3.192   7.589   0.0622 .  
## s(Trial):VbType_CondP_V.Path     3.390e+00   4.197  33.461 1.52e-06 ***
## s(Trial):VbType_CondM_V.Baseline 1.000e+00   1.000   1.896   0.1685    
## s(Trial):VbType_CondM_V.Manner   1.588e+00   1.954   9.166   0.0163 *  
## s(Trial,Subject)                 1.087e+02 782.000 536.178  &lt; 2e-16 ***
## s(VideoName)                     1.111e-04  31.000   0.000   0.7536    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## R-sq.(adj) =  0.593   Deviance explained = 54.9%
## fREML = 3305.6  Scale est. = 1         n = 2515</code></pre>
<p>The comparison is very similar to what we observed with native speakers: The two models are pretty much identical in all coefficient estimates, except for a difference for the estimated random effects of items (last line: <code>VideoName</code>), which does not affect the rest of the model. We thus retain and report the simpler model.</p>
</div>
<div id="reported-in-main-text-2" class="section level3">
<h3><span class="header-section-number">4.3.3</span> Reported in main text</h3>
<p>Plot differences between conditions (model estimates):</p>
<pre class="r"><code>plot_gam_main(gam_l2, &quot;L2&quot;)</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code># Save to disk
tiff(&quot;myfigures/Figure5.tiff&quot;, width = 6, height = 5, units = &quot;in&quot;, res = 600)
plot_gam_main(gam_l2, &quot;L2&quot;)</code></pre>
<pre><code>## Summary:
##  * VbType_Cond : factor; set to the value(s): P_V.Baseline. 
##  * Trial : numeric predictor; with 30 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): 1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valcol. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
## </code></pre>
<pre><code>## Summary:
##  * VbType_Cond : factor; set to the value(s): P_V.Path. 
##  * Trial : numeric predictor; with 30 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): 1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valcol. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
##  
## Summary:
##  * VbType_Cond : factor; set to the value(s): M_V.Baseline. 
##  * Trial : numeric predictor; with 30 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): 1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valcol. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
## </code></pre>
<pre><code>## Summary:
##  * VbType_Cond : factor; set to the value(s): M_V.Manner. 
##  * Trial : numeric predictor; with 30 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): 1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valcol. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
##  
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): 1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valcol. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
## </code></pre>
<pre><code>## 
## Trial window(s) of significant difference(s):
##  3.505051 - 32.000000
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): 1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valcol. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
## </code></pre>
<pre><code>## 
## Trial window(s) of significant difference(s):
##  2.565657 - 32.000000</code></pre>
<pre class="r"><code>dev.off()</code></pre>
<pre><code>## png 
##   2</code></pre>
<pre class="r"><code>pdf(&quot;myfigures/Figure5.pdf&quot;, width = 6, height = 5)
plot_gam_main(gam_l2, &quot;L2&quot;)</code></pre>
<pre><code>## Summary:
##  * VbType_Cond : factor; set to the value(s): P_V.Baseline. 
##  * Trial : numeric predictor; with 30 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): 1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valcol. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
## </code></pre>
<pre><code>## Summary:
##  * VbType_Cond : factor; set to the value(s): P_V.Path. 
##  * Trial : numeric predictor; with 30 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): 1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valcol. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
##  
## Summary:
##  * VbType_Cond : factor; set to the value(s): M_V.Baseline. 
##  * Trial : numeric predictor; with 30 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): 1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valcol. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
## </code></pre>
<pre><code>## Summary:
##  * VbType_Cond : factor; set to the value(s): M_V.Manner. 
##  * Trial : numeric predictor; with 30 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): 1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valcol. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
##  
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): 1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valcol. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
## </code></pre>
<pre><code>## 
## Trial window(s) of significant difference(s):
##  3.505051 - 32.000000
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * Subject : factor; set to the value(s): 1.M_V. (Might be canceled as random effect, check below.) 
##  * VideoName : factor; set to the value(s): pgd_valcol. (Might be canceled as random effect, check below.) 
##  * NOTE : The following random effects columns are canceled: s(Trial,Subject),s(VideoName)
## </code></pre>
<pre><code>## 
## Trial window(s) of significant difference(s):
##  2.565657 - 32.000000</code></pre>
<pre class="r"><code>dev.off()</code></pre>
<pre><code>## png 
##   2</code></pre>
</div>
<div id="reported-in-supplementary-online-material-2" class="section level3">
<h3><span class="header-section-number">4.3.4</span> Reported in Supplementary Online Material</h3>
<div id="gamm-output-1" class="section level4">
<h4><span class="header-section-number">4.3.4.1</span> GAMM output</h4>
<p>Summary of the GAMM for trial-by-trial adaptation in L2 speakers:</p>
<pre class="r"><code>itsadug::gamtabs(gam_l2, type = &quot;HTML&quot;)</code></pre>
<!-- html table generated in R 3.5.2 by xtable 1.8-4 package -->
<!-- Fri Jun 07 14:58:49 2019 -->
<table border="1">
<caption align="bottom">
</caption>
<tr>
<td>
A. parametric coefficients
</td>
<td align="right">
Estimate
</td>
<td align="right">
Std. Error
</td>
<td align="right">
t-value
</td>
<td align="right">
p-value
</td>
</tr>
<tr>
<td>
(Intercept)
</td>
<td align="right">
0.5949
</td>
<td align="right">
0.4116
</td>
<td align="right">
1.4454
</td>
<td align="right">
0.1484
</td>
</tr>
<tr>
<td>
VbType_CondP_V.Path
</td>
<td align="right">
2.4372
</td>
<td align="right">
0.6270
</td>
<td align="right">
3.8872
</td>
<td align="right">
0.0001
</td>
</tr>
<tr>
<td>
VbType_CondM_V.Baseline
</td>
<td align="right">
-2.9603
</td>
<td align="right">
0.5941
</td>
<td align="right">
-4.9829
</td>
<td align="right">
&lt; 0.0001
</td>
</tr>
<tr>
<td>
VbType_CondM_V.Manner
</td>
<td align="right">
-0.1649
</td>
<td align="right">
0.5765
</td>
<td align="right">
-0.2860
</td>
<td align="right">
0.7749
</td>
</tr>
<tr>
<td>
B. smooth terms
</td>
<td align="right">
edf
</td>
<td align="right">
Ref.df
</td>
<td align="right">
F-value
</td>
<td align="right">
p-value
</td>
</tr>
<tr>
<td>
s(Trial):VbType_CondP_V.Baseline
</td>
<td align="right">
2.5646
</td>
<td align="right">
3.1916
</td>
<td align="right">
7.5895
</td>
<td align="right">
0.0622
</td>
</tr>
<tr>
<td>
s(Trial):VbType_CondP_V.Path
</td>
<td align="right">
3.3898
</td>
<td align="right">
4.1975
</td>
<td align="right">
33.4605
</td>
<td align="right">
&lt; 0.0001
</td>
</tr>
<tr>
<td>
s(Trial):VbType_CondM_V.Baseline
</td>
<td align="right">
1.0000
</td>
<td align="right">
1.0001
</td>
<td align="right">
1.8964
</td>
<td align="right">
0.1685
</td>
</tr>
<tr>
<td>
s(Trial):VbType_CondM_V.Manner
</td>
<td align="right">
1.5883
</td>
<td align="right">
1.9542
</td>
<td align="right">
9.1664
</td>
<td align="right">
0.0163
</td>
</tr>
<tr>
<td>
s(Trial,Subject)
</td>
<td align="right">
108.6682
</td>
<td align="right">
782.0000
</td>
<td align="right">
536.1778
</td>
<td align="right">
&lt; 0.0001
</td>
</tr>
<tr>
<td>
s(VideoName)
</td>
<td align="right">
0.0001
</td>
<td align="right">
31.0000
</td>
<td align="right">
0.0001
</td>
<td align="right">
0.7536
</td>
</tr>
<a name="tab.gam"></a>
</table>
</div>
<div id="follow-up-analysis" class="section level4">
<h4><span class="header-section-number">4.3.4.2</span> Follow-up analysis</h4>
<p>The rationale for this analysis is analogous to that for the follow-up analysis on Question 1 above.</p>
<p>Since GLMMs assume linearity in log-odds space, We have to subset the data to use only those trials that show an approximately linear relation with the outcome variable (based on visual inspection). We keep trials 1 through 13.</p>
<p>Subset data:</p>
<pre class="r"><code>d_l2_lin &lt;- d_l2 %&gt;% dplyr::filter(Trial &lt;= 13)</code></pre>
<p>Verify factors are contrast coded and <code>cTrial</code> is centred:</p>
<pre class="r"><code># Verify factors are contrast coded:
contrasts(d_l2_lin$Condition_bin)</code></pre>
<pre><code>##          Primed_vs_Baseline
## Baseline                 -1
## Primed                    1</code></pre>
<pre class="r"><code>contrasts(d_l2_lin$VerbType)</code></pre>
<pre><code>##     M_vs_P
## M_V      1
## P_V     -1</code></pre>
<pre class="r"><code># recenter cTrial
d_l2_lin$cTrial &lt;- d_l2_lin$Trial - mean(d_l2_lin$Trial) 
round(mean(d_l2_lin$cTrial), 7)  # check</code></pre>
<pre><code>## [1] 0</code></pre>
<p>Fit the model:</p>
<pre class="r"><code># Random by-subject/item intercepts and random by-subject slope for cTrial.
# Expression to be passed to the load_or_fit function:
glmm_l2_lin.expr &lt;- 
&quot;glmer(Used ~ Condition_bin * VerbType * cTrial + (1 + cTrial | Subject) +
  (1 | VideoName),
data = d_l2_lin, family = &#39;binomial&#39;,
control = glmerControl(optimizer=&#39;bobyqa&#39;, optCtrl=list(maxfun=2e5)))&quot;
# load model or fit it
load_or_fit(&quot;glmm_l2_lin&quot;, glmm_l2_lin.expr)</code></pre>
<p>Model summary:</p>
<pre class="r"><code>summary(glmm_l2_lin)</code></pre>
<pre><code>## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: 
## Used ~ Condition_bin * VerbType * cTrial + (1 + cTrial | Subject) +  
##     (1 | VideoName)
##    Data: d_l2_lin
## Control: 
## glmerControl(optimizer = &quot;bobyqa&quot;, optCtrl = list(maxfun = 2e+05))
## 
##      AIC      BIC   logLik deviance df.resid 
##    920.8    979.9   -448.4    896.8     1009 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.8260 -0.4225  0.0173  0.3795  3.3357 
## 
## Random effects:
##  Groups    Name        Variance Std.Dev. Corr
##  Subject   (Intercept) 4.398302 2.09721      
##            cTrial      0.064757 0.25447  0.66
##  VideoName (Intercept) 0.001306 0.03614      
## Number of obs: 1021, groups:  Subject, 79; VideoName, 32
## 
## Fixed effects:
##                                                       Estimate Std. Error
## (Intercept)                                            0.26088    0.27722
## Condition_binPrimed_vs_Baseline                        1.43025    0.28790
## VerbTypeM_vs_P                                        -1.55804    0.29289
## cTrial                                                 0.14573    0.04431
## Condition_binPrimed_vs_Baseline:VerbTypeM_vs_P        -0.17858    0.27660
## Condition_binPrimed_vs_Baseline:cTrial                 0.19117    0.04715
## VerbTypeM_vs_P:cTrial                                 -0.14354    0.04849
## Condition_binPrimed_vs_Baseline:VerbTypeM_vs_P:cTrial -0.04813    0.04404
##                                                       z value Pr(&gt;|z|)    
## (Intercept)                                             0.941  0.34668    
## Condition_binPrimed_vs_Baseline                         4.968 6.77e-07 ***
## VerbTypeM_vs_P                                         -5.320 1.04e-07 ***
## cTrial                                                  3.289  0.00100 ** 
## Condition_binPrimed_vs_Baseline:VerbTypeM_vs_P         -0.646  0.51852    
## Condition_binPrimed_vs_Baseline:cTrial                  4.054 5.03e-05 ***
## VerbTypeM_vs_P:cTrial                                  -2.960  0.00307 ** 
## Condition_binPrimed_vs_Baseline:VerbTypeM_vs_P:cTrial  -1.093  0.27442    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## Correlation of Fixed Effects:
##                (Intr) Cn_P__B VrTM__P cTrial Cn_P__B:VTM__P C_P__B:T
## Cndtn_bP__B     0.090                                               
## VrbTypM_v_P    -0.104 -0.220                                        
## cTrial          0.578  0.138  -0.143                                
## Cn_P__B:VTM__P -0.142 -0.096   0.082  -0.142                        
## Cndt_P__B:T     0.130  0.613  -0.232   0.171 -0.115                 
## VrbTyM__P:T    -0.132 -0.227   0.618  -0.161  0.114         -0.333  
## C_P__B:VTM__P: -0.141 -0.118   0.117  -0.219  0.581         -0.145  
##                VTM__P:
## Cndtn_bP__B           
## VrbTypM_v_P           
## cTrial                
## Cn_P__B:VTM__P        
## Cndt_P__B:T           
## VrbTyM__P:T           
## C_P__B:VTM__P:  0.148</code></pre>
</div>
</div>
</div>
<div id="effect-of-l2-proficiency-on-trial-by-trial-adaptation-question-3" class="section level2">
<h2><span class="header-section-number">4.4</span> Effect of L2 proficiency on trial-by-trial adaptation (Question 3)</h2>
<div id="data-and-processing" class="section level3">
<h3><span class="header-section-number">4.4.1</span> Data and processing</h3>
<p>The data is the same as we used to address Question 2, only now we will use the predictor <code>ClozeScore</code> to measure L2 proficiency.</p>
<p>First rows of the data set:</p>
<pre class="r"><code>head(d_l2)</code></pre>
<pre><code>##   Subject Group Condition Trial  VideoName ClozeScore zClozeScore
## 1   2.P_V    L2  Baseline     1 prd_balcol         12   -1.545545
## 2   2.P_V    L2  Baseline     2 trm_voidun         12   -1.545545
## 3   2.P_V    L2  Baseline     3 prd_balnei         12   -1.545545
## 4   2.P_V    L2  Baseline     4 tge_chamai         12   -1.545545
## 5   2.P_V    L2  Baseline     5 trt_pourou         12   -1.545545
## 6   2.P_V    L2  Baseline     6 tgd_malcol         12   -1.545545
##   cClozeScore PathPrimeV MannerPrimeV VerbType Used  VbType_Cond
## 1   -12.49153       baja        rueda      P_V    1 P_V.Baseline
## 2   -12.49153       sube      tira de      P_V    0 P_V.Baseline
## 3   -12.49153       baja        rueda      P_V    1 P_V.Baseline
## 4   -12.49153   entra en     arrastra      P_V    1 P_V.Baseline
## 5   -12.49153      cruza      tira de      P_V    1 P_V.Baseline
## 6   -12.49153       baja     arrastra      P_V    1 P_V.Baseline
##   Condition_bin
## 1      Baseline
## 2      Baseline
## 3      Baseline
## 4      Baseline
## 5      Baseline
## 6      Baseline</code></pre>
</div>
<div id="gamm-fitting" class="section level3">
<h3><span class="header-section-number">4.4.2</span> GAMM fitting</h3>
<p>Model for L2 speakers including proficiency:</p>
<pre class="r"><code># model with L2 proficiency
gam_l2prof.expr &lt;- 
&quot;bam(Used ~ VbType_Cond + te(Trial, ClozeScore, by = VbType_Cond) +
  s(Trial, Subject, bs = &#39;fs&#39;) + s(VideoName, bs = &#39;re&#39;),
data = d_l2,
family = &#39;binomial&#39;)&quot;
# load model or fit (fitting took about 6.5 minutes on my laptop)
load_or_fit(&quot;gam_l2prof&quot;, gam_l2prof.expr)</code></pre>
<p>Model summary:</p>
<pre class="r"><code>summary(gam_l2prof)</code></pre>
<pre><code>## 
## Family: binomial 
## Link function: logit 
## 
## Formula:
## Used ~ VbType_Cond + te(Trial, ClozeScore, by = VbType_Cond) + 
##     s(Trial, Subject, bs = &quot;fs&quot;) + s(VideoName, bs = &quot;re&quot;)
## 
## Parametric coefficients:
##                         Estimate Std. Error z value Pr(&gt;|z|)    
## (Intercept)               0.5754     0.4004   1.437    0.151    
## VbType_CondP_V.Path       2.4912     0.6165   4.041 5.32e-05 ***
## VbType_CondM_V.Baseline  -2.9459     0.5782  -5.095 3.49e-07 ***
## VbType_CondM_V.Manner    -0.1991     0.5616  -0.354    0.723    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## Approximate significance of smooth terms:
##                                                    edf  Ref.df  Chi.sq
## te(Trial,ClozeScore):VbType_CondP_V.Baseline 6.170e+00   7.752  15.723
## te(Trial,ClozeScore):VbType_CondP_V.Path     8.433e+00  10.542  36.051
## te(Trial,ClozeScore):VbType_CondM_V.Baseline 3.000e+00   3.000   3.795
## te(Trial,ClozeScore):VbType_CondM_V.Manner   5.846e+00   7.352  11.159
## s(Trial,Subject)                             9.678e+01 774.000 469.839
## s(VideoName)                                 1.092e-04  31.000   0.000
##                                               p-value    
## te(Trial,ClozeScore):VbType_CondP_V.Baseline 0.033770 *  
## te(Trial,ClozeScore):VbType_CondP_V.Path     0.000119 ***
## te(Trial,ClozeScore):VbType_CondM_V.Baseline 0.284418    
## te(Trial,ClozeScore):VbType_CondM_V.Manner   0.152214    
## s(Trial,Subject)                              &lt; 2e-16 ***
## s(VideoName)                                 0.761216    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## R-sq.(adj) =  0.595   Deviance explained = 55.2%
## fREML = 3297.2  Scale est. = 1         n = 2515</code></pre>
</div>
<div id="reported-in-main-text-3" class="section level3">
<h3><span class="header-section-number">4.4.3</span> Reported in main text</h3>
<p>Plot differences between conditions (model estimates):</p>
<pre class="r"><code>plot_L2_profic_diff(gam_l2prof, primed_cond = &quot;Path&quot;)</code></pre>
<p><img src="data:image/png;base64,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" width="864" /></p>
<pre class="r"><code>plot_L2_profic_diff(gam_l2prof, primed_cond = &quot;Manner&quot;)</code></pre>
<p><img src="data:image/png;base64,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" width="864" /></p>
<pre class="r"><code># Save to disk
tiff(&quot;myfigures/Figure6a.tiff&quot;, width = 7, height = 2.3, units = &quot;in&quot;, res = 600)
plot_L2_profic_diff(gam_l2prof, primed_cond = &quot;Path&quot;)</code></pre>
<pre><code>## [1] &quot;P_V.Path&quot;
## [1] &quot;P_V.Baseline&quot;
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * ClozeScore : numeric predictor; set to the value(s): 10. 
##  * Subject : factor; set to the value(s): 1.M_V. 
##  * VideoName : factor; set to the value(s): pgd_valcol.</code></pre>
<pre><code>## 
## Trial window(s) of significant difference(s):
##  2.565657 - 31.060606
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * ClozeScore : numeric predictor; set to the value(s): 18.3333333333333. 
##  * Subject : factor; set to the value(s): 1.M_V. 
##  * VideoName : factor; set to the value(s): pgd_valcol.</code></pre>
<pre><code>## 
## Trial window(s) of significant difference(s):
##  2.878788 - 32.000000
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * ClozeScore : numeric predictor; set to the value(s): 26.6666666666667. 
##  * Subject : factor; set to the value(s): 1.M_V. 
##  * VideoName : factor; set to the value(s): pgd_valcol.</code></pre>
<pre><code>## 
## Trial window(s) of significant difference(s):
##  5.070707 - 32.000000
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * ClozeScore : numeric predictor; set to the value(s): 35. 
##  * Subject : factor; set to the value(s): 1.M_V. 
##  * VideoName : factor; set to the value(s): pgd_valcol.</code></pre>
<pre><code>## 
## Difference is not significant.</code></pre>
<pre class="r"><code>dev.off()</code></pre>
<pre><code>## png 
##   2</code></pre>
<pre class="r"><code>tiff(&quot;myfigures/Figure6b.tiff&quot;, width = 7, height = 2.3, units = &quot;in&quot;, res = 600)
plot_L2_profic_diff(gam_l2prof, primed_cond = &quot;Manner&quot;)</code></pre>
<pre><code>## [1] &quot;M_V.Manner&quot;
## [1] &quot;M_V.Baseline&quot;
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * ClozeScore : numeric predictor; set to the value(s): 10. 
##  * Subject : factor; set to the value(s): 1.M_V. 
##  * VideoName : factor; set to the value(s): pgd_valcol.</code></pre>
<pre><code>## 
## Difference is not significant.
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * ClozeScore : numeric predictor; set to the value(s): 18.3333333333333. 
##  * Subject : factor; set to the value(s): 1.M_V. 
##  * VideoName : factor; set to the value(s): pgd_valcol.</code></pre>
<pre><code>## 
## Trial window(s) of significant difference(s):
##  9.141414 - 32.000000
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * ClozeScore : numeric predictor; set to the value(s): 26.6666666666667. 
##  * Subject : factor; set to the value(s): 1.M_V. 
##  * VideoName : factor; set to the value(s): pgd_valcol.</code></pre>
<pre><code>## 
## Trial window(s) of significant difference(s):
##  3.818182 - 32.000000
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * ClozeScore : numeric predictor; set to the value(s): 35. 
##  * Subject : factor; set to the value(s): 1.M_V. 
##  * VideoName : factor; set to the value(s): pgd_valcol.</code></pre>
<pre><code>## 
## Trial window(s) of significant difference(s):
##  6.010101 - 32.000000</code></pre>
<pre class="r"><code>dev.off()</code></pre>
<pre><code>## png 
##   2</code></pre>
<pre class="r"><code>pdf(&quot;myfigures/Figure6a.pdf&quot;, width = 7, height = 2.3)
plot_L2_profic_diff(gam_l2prof, primed_cond = &quot;Path&quot;)</code></pre>
<pre><code>## [1] &quot;P_V.Path&quot;
## [1] &quot;P_V.Baseline&quot;
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * ClozeScore : numeric predictor; set to the value(s): 10. 
##  * Subject : factor; set to the value(s): 1.M_V. 
##  * VideoName : factor; set to the value(s): pgd_valcol.</code></pre>
<pre><code>## 
## Trial window(s) of significant difference(s):
##  2.565657 - 31.060606
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * ClozeScore : numeric predictor; set to the value(s): 18.3333333333333. 
##  * Subject : factor; set to the value(s): 1.M_V. 
##  * VideoName : factor; set to the value(s): pgd_valcol.</code></pre>
<pre><code>## 
## Trial window(s) of significant difference(s):
##  2.878788 - 32.000000
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * ClozeScore : numeric predictor; set to the value(s): 26.6666666666667. 
##  * Subject : factor; set to the value(s): 1.M_V. 
##  * VideoName : factor; set to the value(s): pgd_valcol.</code></pre>
<pre><code>## 
## Trial window(s) of significant difference(s):
##  5.070707 - 32.000000
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * ClozeScore : numeric predictor; set to the value(s): 35. 
##  * Subject : factor; set to the value(s): 1.M_V. 
##  * VideoName : factor; set to the value(s): pgd_valcol.</code></pre>
<pre><code>## 
## Difference is not significant.</code></pre>
<pre class="r"><code>dev.off()</code></pre>
<pre><code>## png 
##   2</code></pre>
<pre class="r"><code>pdf(&quot;myfigures/Figure6b.pdf&quot;,width = 7, height = 2.3)
plot_L2_profic_diff(gam_l2prof, primed_cond = &quot;Manner&quot;)</code></pre>
<pre><code>## [1] &quot;M_V.Manner&quot;
## [1] &quot;M_V.Baseline&quot;
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * ClozeScore : numeric predictor; set to the value(s): 10. 
##  * Subject : factor; set to the value(s): 1.M_V. 
##  * VideoName : factor; set to the value(s): pgd_valcol.</code></pre>
<pre><code>## 
## Difference is not significant.
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * ClozeScore : numeric predictor; set to the value(s): 18.3333333333333. 
##  * Subject : factor; set to the value(s): 1.M_V. 
##  * VideoName : factor; set to the value(s): pgd_valcol.</code></pre>
<pre><code>## 
## Trial window(s) of significant difference(s):
##  9.141414 - 32.000000
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * ClozeScore : numeric predictor; set to the value(s): 26.6666666666667. 
##  * Subject : factor; set to the value(s): 1.M_V. 
##  * VideoName : factor; set to the value(s): pgd_valcol.</code></pre>
<pre><code>## 
## Trial window(s) of significant difference(s):
##  3.818182 - 32.000000
## Summary:
##  * Trial : numeric predictor; with 100 values ranging from 1.000000 to 32.000000. 
##  * ClozeScore : numeric predictor; set to the value(s): 35. 
##  * Subject : factor; set to the value(s): 1.M_V. 
##  * VideoName : factor; set to the value(s): pgd_valcol.</code></pre>
<pre><code>## 
## Trial window(s) of significant difference(s):
##  6.010101 - 32.000000</code></pre>
<pre class="r"><code>dev.off()</code></pre>
<pre><code>## png 
##   2</code></pre>
</div>
<div id="reported-in-supplementary-online-material-3" class="section level3">
<h3><span class="header-section-number">4.4.4</span> Reported in Supplementary Online Material</h3>
<p>Model output (properly formatted):</p>
<pre class="r"><code>itsadug::gamtabs(gam_l2prof, type = &quot;HTML&quot;)</code></pre>
<!-- html table generated in R 3.5.2 by xtable 1.8-4 package -->
<!-- Fri Jun 07 14:59:01 2019 -->
<table border="1">
<caption align="bottom">
</caption>
<tr>
<td>
A. parametric coefficients
</td>
<td align="right">
Estimate
</td>
<td align="right">
Std. Error
</td>
<td align="right">
t-value
</td>
<td align="right">
p-value
</td>
</tr>
<tr>
<td>
(Intercept)
</td>
<td align="right">
0.5754
</td>
<td align="right">
0.4004
</td>
<td align="right">
1.4371
</td>
<td align="right">
0.1507
</td>
</tr>
<tr>
<td>
VbType_CondP_V.Path
</td>
<td align="right">
2.4912
</td>
<td align="right">
0.6165
</td>
<td align="right">
4.0411
</td>
<td align="right">
0.0001
</td>
</tr>
<tr>
<td>
VbType_CondM_V.Baseline
</td>
<td align="right">
-2.9459
</td>
<td align="right">
0.5782
</td>
<td align="right">
-5.0947
</td>
<td align="right">
&lt; 0.0001
</td>
</tr>
<tr>
<td>
VbType_CondM_V.Manner
</td>
<td align="right">
-0.1991
</td>
<td align="right">
0.5616
</td>
<td align="right">
-0.3545
</td>
<td align="right">
0.7230
</td>
</tr>
<tr>
<td>
B. smooth terms
</td>
<td align="right">
edf
</td>
<td align="right">
Ref.df
</td>
<td align="right">
F-value
</td>
<td align="right">
p-value
</td>
</tr>
<tr>
<td>
te(Trial,ClozeScore):VbType_CondP_V.Baseline
</td>
<td align="right">
6.1700
</td>
<td align="right">
7.7520
</td>
<td align="right">
15.7228
</td>
<td align="right">
0.0338
</td>
</tr>
<tr>
<td>
te(Trial,ClozeScore):VbType_CondP_V.Path
</td>
<td align="right">
8.4326
</td>
<td align="right">
10.5423
</td>
<td align="right">
36.0505
</td>
<td align="right">
0.0001
</td>
</tr>
<tr>
<td>
te(Trial,ClozeScore):VbType_CondM_V.Baseline
</td>
<td align="right">
3.0000
</td>
<td align="right">
3.0001
</td>
<td align="right">
3.7955
</td>
<td align="right">
0.2844
</td>
</tr>
<tr>
<td>
te(Trial,ClozeScore):VbType_CondM_V.Manner
</td>
<td align="right">
5.8462
</td>
<td align="right">
7.3517
</td>
<td align="right">
11.1586
</td>
<td align="right">
0.1522
</td>
</tr>
<tr>
<td>
s(Trial,Subject)
</td>
<td align="right">
96.7831
</td>
<td align="right">
774.0000
</td>
<td align="right">
469.8387
</td>
<td align="right">
&lt; 0.0001
</td>
</tr>
<tr>
<td>
s(VideoName)
</td>
<td align="right">
0.0001
</td>
<td align="right">
31.0000
</td>
<td align="right">
0.0001
</td>
<td align="right">
0.7612
</td>
</tr>
<a name="tab.gam"></a>
</table>
<p>Plot each comparison showing the two curves (model estimates):</p>
<pre class="r"><code>plot_L2_profic(gam_l2prof, primed_cond = &#39;Path&#39;)</code></pre>
<p><img src="data:image/png;base64,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" width="864" /></p>
<pre class="r"><code>plot_L2_profic(gam_l2prof, primed_cond = &#39;Manner&#39;)</code></pre>
<p><img 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" width="864" /></p>
</div>
</div>
</div>
<div id="self-priming-appendix-s7" class="section level1">
<h1><span class="header-section-number">5</span> Self-priming (Appendix S7)</h1>
<p>One of the reviewers brought to our attention the issue of self-priming, in the following terms:</p>
<blockquote>
<p>Strictly speaking, each priming trial consists of two different types of utterances: the written and orally repeated sentence, and the sentence produced by the participant to describe the picture. I take it that in the adaptation analysis, only the number of trials has been taken into consideration (that is, each prime+target pair is counted as 1). Would the result be any different if in addition to the number of primes, also the number of path or manner constructions produced as descriptions by the participant were taken into consideration as well?</p>
</blockquote>
<p>To address the reviewer’s question, we take the following approach:</p>
<ol style="list-style-type: decimal">
<li>We compute a new variable <code>SelfProduction</code> that counts, for each trial, the (cumulative) number of times a speaker has produced the target verb type (path or manner verb, depending on the value of the <code>VerbType</code> variable) in all trials up to the last one. This variable is always zero on the first trial and goes up to maximally 31 (in trial 32, the last trial) if the participant has produced the target verb throughout the whole experiment.</li>
<li>We fit a GAMM identical to the ones reported in the main paper, except we use <code>SelfProduction</code> as a predictor <em>instead</em> of <code>Trial</code>.</li>
</ol>
<p>The logic is as follows:</p>
<p>If self-priming can account for the results we observed, then we should see <em>no differences</em> between the groups in the analysis below. This is because, when using <code>SelfProduction</code> as the predictor, speakers in the different conditions are being treated the same: a speaker for whom, say, <code>SelfProduction</code> = 7 in a given trial, has been self-primed seven times, irrespective of whether he or she is in the baseline or in the primed condition. Conversely, to the extent that we still see a difference between the conditions, this difference cannot be due to self-priming, but has to be attributed to the only factor that differed between conditions, namely the fact that primed participants also had to read and repeat the priming sentences.</p>
<div id="create-new-variable-selfproduction" class="section level2">
<h2><span class="header-section-number">5.1</span> Create new variable <code>SelfProduction</code></h2>
<p>Add participant’s cumulative productions, <code>SelfProduction</code> as a predictor:</p>
<pre class="r"><code># Add number of produced structures as predictor --------------------------

# The cumulative number of productions is equal to the number of times the target
# structure # was used up until the last trial. This is what the following function
# comptues, where v is the vector of a subject&#39;s uses of the structure ordered by trial:
my_cumsum &lt;- function(v) {
  out &lt;- c(0, cumsum(v)[ 1 : (length(v) - 1) ])
  out
}

# Add the following predictors:
# a) SelfProduction: number of times the structure has been used in just production 
# b) prod_compr: Trial + the number of times it has been used in production. 
d_mod &lt;- d_mod %&gt;%
  group_by(Subject) %&gt;%
  mutate(SelfProduction = my_cumsum(Used))
head(data.frame(d_mod))</code></pre>
<pre><code>##   Subject Group Condition Trial  VideoName ClozeScore zClozeScore
## 1   2.P_V    L2  Baseline     1 prd_balcol         12   -1.545545
## 2   2.P_V    L2  Baseline     2 trm_voidun         12   -1.545545
## 3   2.P_V    L2  Baseline     3 prd_balnei         12   -1.545545
## 4   2.P_V    L2  Baseline     4 tge_chamai         12   -1.545545
## 5   2.P_V    L2  Baseline     5 trt_pourou         12   -1.545545
## 6   2.P_V    L2  Baseline     6 tgd_malcol         12   -1.545545
##   cClozeScore PathPrimeV MannerPrimeV VerbType Used  VbType_Cond
## 1   -12.49153       baja        rueda      P_V    1 P_V.Baseline
## 2   -12.49153       sube      tira de      P_V    0 P_V.Baseline
## 3   -12.49153       baja        rueda      P_V    1 P_V.Baseline
## 4   -12.49153   entra en     arrastra      P_V    1 P_V.Baseline
## 5   -12.49153      cruza      tira de      P_V    1 P_V.Baseline
## 6   -12.49153       baja     arrastra      P_V    1 P_V.Baseline
##   Condition_bin SelfProduction
## 1      Baseline              0
## 2      Baseline              1
## 3      Baseline              1
## 4      Baseline              2
## 5      Baseline              3
## 6      Baseline              4</code></pre>
</div>
<div id="q1-re-analysis" class="section level2">
<h2><span class="header-section-number">5.2</span> Q1 re-analysis</h2>
<div id="subset-data" class="section level3">
<h3><span class="header-section-number">5.2.1</span> Subset data</h3>
<pre class="r"><code># Subset data to native speaker data only
d_ns &lt;- d_mod %&gt;% dplyr::filter(Group == &quot;NS&quot;)
# drop unused factors for subject (important for gam fitting)
d_ns$Subject &lt;- factor(d_ns$Subject)</code></pre>
</div>
<div id="model-with-self-priming-from-own-production-only" class="section level3">
<h3><span class="header-section-number">5.2.2</span> Model with self-priming from own production only</h3>
<pre class="r"><code>## Model with self-priming in production only

# the expression that is passed to load_or_fit()
gam_ns_prod.expr &lt;- 
  &quot;bam(Used ~ VbType_Cond + s(SelfProduction, by = VbType_Cond) + s(SelfProduction, Subject, bs = &#39;fs&#39;) +
s(VideoName, bs = &#39;re&#39;),
data = d_ns,
family = &#39;binomial&#39;)&quot;
# load model or fit (fitting took about 4.5 minutes on my laptop)
load_or_fit(&quot;gam_ns_prod&quot;, gam_ns_prod.expr)</code></pre>
<p>Model summary:</p>
<pre class="r"><code>summary(gam_ns_prod)</code></pre>
<pre><code>## 
## Family: binomial 
## Link function: logit 
## 
## Formula:
## Used ~ VbType_Cond + s(SelfProduction, by = VbType_Cond) + s(SelfProduction, 
##     Subject, bs = &quot;fs&quot;) + s(VideoName, bs = &quot;re&quot;)
## 
## Parametric coefficients:
##                          Estimate Std. Error z value Pr(&gt;|z|)   
## (Intercept)              0.560047   0.377128   1.485   0.1375   
## VbType_CondP_V.Path      0.806973   0.548837   1.470   0.1415   
## VbType_CondM_V.Baseline -1.593458   0.545724  -2.920   0.0035 **
## VbType_CondM_V.Manner   -0.003157   0.528317  -0.006   0.9952   
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## Approximate significance of smooth terms:
##                                                 edf  Ref.df  Chi.sq
## s(SelfProduction):VbType_CondP_V.Baseline 1.000e+00   1.000   9.385
## s(SelfProduction):VbType_CondP_V.Path     1.000e+00   1.000  11.718
## s(SelfProduction):VbType_CondM_V.Baseline 1.000e+00   1.000   2.618
## s(SelfProduction):VbType_CondM_V.Manner   2.542e+00   3.188   7.311
## s(SelfProduction,Subject)                 9.936e+01 560.000 492.814
## s(VideoName)                              4.691e-04  31.000   0.000
##                                            p-value    
## s(SelfProduction):VbType_CondP_V.Baseline 0.002188 ** 
## s(SelfProduction):VbType_CondP_V.Path     0.000619 ***
## s(SelfProduction):VbType_CondM_V.Baseline 0.105672    
## s(SelfProduction):VbType_CondM_V.Manner   0.074500 .  
## s(SelfProduction,Subject)                  &lt; 2e-16 ***
## s(VideoName)                              0.489755    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## R-sq.(adj) =  0.407   Deviance explained = 37.8%
## fREML = 3451.5  Scale est. = 1         n = 2525</code></pre>
<p>Plot:</p>
<pre class="r"><code>plot_gam_main(gam_ns_prod, &quot;NS&quot;, show_xaxis = &#39;SelfProduction&#39;)</code></pre>
<p><img 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" width="672" /></p>
</div>
</div>
<div id="q2-re-analysis" class="section level2">
<h2><span class="header-section-number">5.3</span> Q2 re-analysis</h2>
<div id="subset-data-1" class="section level3">
<h3><span class="header-section-number">5.3.1</span> Subset data</h3>
<pre class="r"><code># Subset data to L2 speaker data only
d_l2 &lt;- d_mod %&gt;% dplyr::filter(Group == &quot;L2&quot;)
# drop unused factors for subject (I think this is important for gam fitting)
d_l2$Subject &lt;- factor(d_l2$Subject)
# note log-odds of path verbs in baseline condition becomes the reference level
contrasts(d_l2$VbType_Cond)</code></pre>
<pre><code>##              P_V.Path M_V.Baseline M_V.Manner
## P_V.Baseline        0            0          0
## P_V.Path            1            0          0
## M_V.Baseline        0            1          0
## M_V.Manner          0            0          1</code></pre>
</div>
<div id="model-with-self-priming-in-production-only" class="section level3">
<h3><span class="header-section-number">5.3.2</span> Model with self-priming in production only</h3>
<pre class="r"><code>## Model with self-priming in production only

# the expression that is passed to load_or_fit()
gam_l2_prod.expr &lt;- 
  &quot;bam(Used ~ VbType_Cond + s(SelfProduction, by = VbType_Cond) + s(SelfProduction, Subject, bs = &#39;fs&#39;) +
s(VideoName, bs = &#39;re&#39;),
data = d_l2,
family = &#39;binomial&#39;)&quot;
# load model or fit (fitting took about 4.5 minutes on my laptop)
load_or_fit(&quot;gam_l2_prod&quot;, gam_l2_prod.expr)</code></pre>
<p>Model summary:</p>
<pre class="r"><code>summary(gam_l2_prod)</code></pre>
<pre><code>## 
## Family: binomial 
## Link function: logit 
## 
## Formula:
## Used ~ VbType_Cond + s(SelfProduction, by = VbType_Cond) + s(SelfProduction, 
##     Subject, bs = &quot;fs&quot;) + s(VideoName, bs = &quot;re&quot;)
## 
## Parametric coefficients:
##                         Estimate Std. Error z value Pr(&gt;|z|)    
## (Intercept)              0.66443    0.32139   2.067 0.038701 *  
## VbType_CondP_V.Path      1.77070    0.48244   3.670 0.000242 ***
## VbType_CondM_V.Baseline -3.33443    0.66161  -5.040 4.66e-07 ***
## VbType_CondM_V.Manner    0.02968    0.45919   0.065 0.948472    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## Approximate significance of smooth terms:
##                                                 edf  Ref.df Chi.sq
## s(SelfProduction):VbType_CondP_V.Baseline 3.107e+00   3.868  17.62
## s(SelfProduction):VbType_CondP_V.Path     3.934e+00   4.850  29.43
## s(SelfProduction):VbType_CondM_V.Baseline 1.187e+00   1.327   2.42
## s(SelfProduction):VbType_CondM_V.Manner   2.113e+00   2.632  21.94
## s(SelfProduction,Subject)                 9.022e+01 551.000 347.50
## s(VideoName)                              4.858e-05  31.000   0.00
##                                            p-value    
## s(SelfProduction):VbType_CondP_V.Baseline  0.00132 ** 
## s(SelfProduction):VbType_CondP_V.Path     1.56e-05 ***
## s(SelfProduction):VbType_CondM_V.Baseline  0.29924    
## s(SelfProduction):VbType_CondM_V.Manner   3.85e-05 ***
## s(SelfProduction,Subject)                  &lt; 2e-16 ***
## s(VideoName)                               0.70961    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## R-sq.(adj) =  0.576   Deviance explained = 53.1%
## fREML = 3318.1  Scale est. = 1         n = 2515</code></pre>
<p>Plot:</p>
<pre class="r"><code>plot_gam_main(gam_l2_prod, &quot;L2&quot;, show_xaxis = &#39;SelfProduction&#39;,
              ylim1 = c(-6, 6), ylim2 = c(-.5, 8))</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
</div>
</div>
<div id="q3-re-analysis" class="section level2">
<h2><span class="header-section-number">5.4</span> Q3 re-analysis</h2>
<p>We use the same data as in Q2.</p>
<div id="model-with-self-priming-in-production-only-1" class="section level3">
<h3><span class="header-section-number">5.4.1</span> Model with self-priming in production only</h3>
<pre class="r"><code>## Model with self-priming in production only

# the expression that is passed to load_or_fit()
gam_l2prof_prod.expr &lt;- 
  &quot;bam(Used ~ VbType_Cond + te(SelfProduction, ClozeScore, by = VbType_Cond) +
s(SelfProduction, Subject, bs = &#39;fs&#39;) + s(VideoName, bs = &#39;re&#39;),
data = d_l2,
family = &#39;binomial&#39;)&quot;
# load model or fit (fitting took about X minutes on my laptop)
load_or_fit(&quot;gam_l2prof_prod&quot;, gam_l2prof_prod.expr)</code></pre>
<p>Model summary:</p>
<pre class="r"><code>summary(gam_l2prof_prod)</code></pre>
<pre><code>## 
## Family: binomial 
## Link function: logit 
## 
## Formula:
## Used ~ VbType_Cond + te(SelfProduction, ClozeScore, by = VbType_Cond) + 
##     s(SelfProduction, Subject, bs = &quot;fs&quot;) + s(VideoName, bs = &quot;re&quot;)
## 
## Parametric coefficients:
##                         Estimate Std. Error z value Pr(&gt;|z|)    
## (Intercept)              0.66341    0.31951   2.076   0.0379 *  
## VbType_CondP_V.Path      1.79209    0.48182   3.719   0.0002 ***
## VbType_CondM_V.Baseline -4.05431    0.92777  -4.370 1.24e-05 ***
## VbType_CondM_V.Manner    0.04556    0.45836   0.099   0.9208    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## Approximate significance of smooth terms:
##                                                             edf  Ref.df
## te(SelfProduction,ClozeScore):VbType_CondP_V.Baseline 5.986e+00   7.131
## te(SelfProduction,ClozeScore):VbType_CondP_V.Path     7.968e+00   9.779
## te(SelfProduction,ClozeScore):VbType_CondM_V.Baseline 4.272e+00   4.832
## te(SelfProduction,ClozeScore):VbType_CondM_V.Manner   6.160e+00   7.445
## s(SelfProduction,Subject)                             8.036e+01 536.000
## s(VideoName)                                          3.269e-05  31.000
##                                                       Chi.sq  p-value    
## te(SelfProduction,ClozeScore):VbType_CondP_V.Baseline  25.42 0.000621 ***
## te(SelfProduction,ClozeScore):VbType_CondP_V.Path      29.15 0.000905 ***
## te(SelfProduction,ClozeScore):VbType_CondM_V.Baseline   9.25 0.113361    
## te(SelfProduction,ClozeScore):VbType_CondM_V.Manner    28.39 0.000639 ***
## s(SelfProduction,Subject)                             289.92  &lt; 2e-16 ***
## s(VideoName)                                            0.00 0.741536    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## R-sq.(adj) =  0.579   Deviance explained = 53.5%
## fREML = 3308.6  Scale est. = 1         n = 2515</code></pre>
<p>Plot effects by condition:</p>
<pre class="r"><code># Plot effects by condition
plot_L2_profic(gam_l2prof_prod, primed_cond = &#39;Path&#39;, show_xaxis = &#39;SelfProduction&#39;,
               ylim1 = c(-9, 8))</code></pre>
<p><img 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r0MprfKD69qK/3DfAvLq/gP81Wf1/Gqy3zPeaOIvA5nursj5rp/aSuw7t96gbUfcLL76JTuy2kbd3d/63721/6DUOqPSelms/2VNyeB9X+jPXvTFlrO16mUllfpb2TWntfJqot8tnKrhLw6n0/VvPjk/X3n/UtbgXVuWxwF9t2rB50PrzyMYvvhlX9p/nwcWPtRlLcevun+4/Yb4vqfaLl/UL37G2u790t2bhaunn1S8hdaFpdX4V9oqT2vk1UvpsB05rXuf0Lw7nj4tUNk+ReYiXQPeV+Wu6cERF66kJcuC8qLAvPyqsyvbAiNvHQhL10WlBcF5m57Z77UJ4tDIi9dyEuXBeVFgbnbBsYNRHvkpQt56bKgvCgwd/VToGW+ECM08tKFvHRZUF5lFBgAYHEoMACAShQYAEAlCgwAoBIFBgBQiQIDAKhEgQEAVKLAAAAqUWAAAJUoMACAShQYAEAlCgwAoBIFBgBQiQLL1tu91CsBgBxRYLl6S4EBwBQKLFcUGABMosAy9ZYCA4BJFFie3lJgADCNAssTBQYAMyiwLL2lwABgBgWWo7cUGADMocByRIEBwCwKLENvKTAAmEWBZYgCA4B5FFh+jvuLAgOAARRYdk76iwIDgAEUWHYoMAAwQYHl5rS/KDAAGECBZWagvygwANjqHQ8psMxQYAAw5i0FlrGh/qLAAKD2lgLL2GB/vUi9KgDIAgWWseH+osAAYL09RHb/ToHlhAIDgDEnT6lQYBkZ6S8KDADWp68JoMDyMdZfFBgAUGA5G+0vCgwA3lJg+RrsLwoMAGpvKbCMjfcXBQZg6d5SYBmb6C8KDMDCvaXAMjbxACIFBmDpKLCMTfYXBQZg2d5SYPma7i8KDMCivaXAMjbdXxQYgCV7S4FlbOYOGAUGYMHeUmAZm+svCgzAch0dGrs/osCSm+0vCgzAclFgGZvvLwoMwGIdHxy7P6PAEhvuLwoMANYDh8juDymwxAz6iwIDsFCnR8fuTymwtEz6iwIDsEwDh8fujymwpIz6iwIDsEhDx8fuzymwlIb7iwIDgJEjZPcEFFhChv1FgQFYoOEDZPcUFFg6pv1FgQFYnpEjZPckFFgyxv1FgQFYnJEjJAWWBfP+osAALM1Yf1FgORgLhwIDgNH+osAyYNNfFBiAZRnvLwosPav+osAALMpEf1Fgydn1FwUGYEmm+osCS82yvygwAMsxWV8UWGq2/UWBAViMmf6iwJIajWW0vygwAEsx118UWEoO/UWBAViI2f6iwBJy6S8KDMAizNcXBZaQU39RYACWwKS/KLBUxiOZ7C8KTJe38ycBcMqovyiwRFz7iwJT5S0FBrgw6y8KLI2JRCiwcrylwAAHhvVFgaXh3l8UmCLHOxgAE8b9RYElMJXHXH9RYHqc7GAADJj3FwUWn1d/UWBqnO5gAGZZ1BcFFt1kGvP9RYFpMbCDAZhj1V8UWFzTYRj0FwWmxNAOBmCaXX1RYHHNhEGBFWNwBwMwyba/KLCI5rIw6S8KTIXhHQzABOv6osDimY3CqL8oMA1GdjAAoxzqiwKLZT4Js/6iwBQY28EAjHCqLwosCpMgDPuLAsvf6A4GYJBjfVFgERjlYNpfFFj2xncwAAOc64sCC80wBuP+osByN7GDATjhUV8UWFimKZj3FwWWuakdDMARr/qiwAIyD8GivyiwvE3uYAB6POuLAgvGIgOb/qLAsja9gwHo8K4vCiwMqwis+osCy9nMDgZgT6C+KLAALBOw6y8KLGNzOxiAlkB5He9fFJg/6wAs+4sCy9fsDgZgy7e4hvYvCsyPy/xt+4sCy9b8Dgag5lNZ4/sXBebMdfzW/UWBZcpkB0P2yCsC16Pl3P5Fgbnwmb59f1FgeTLawZA78orA54g5uX8trMBE5+jEob8osCyNZ5x6ZTBHXhEIH0O7Z72IAhOenw+X/qLAMjQVcuq1wRh5hSd+EO2eebkFJj42CU79RYHlZzLl1IuDIfKKQP4o2j33QgtMfmgi3PqLAsvNTMyplwcz5BVBgMNo9+xLLLAAI5Ph2F8LLrChKaZe0/wVLPX6YIK8IpA7eI7sX6UVWJCBCXHtr8UVmOlAc11dmnXBBnnFYH+QtN3vyyqwMPMS4txfyyow27FmuLzIS4I18orBdlc21d1GSQUWal4y3PtrOQXmPNy8VhhtNXBCXlE47802+1c5BRZsXDI8+msZBeY/4mzWGH4hcEdeUfjvz0b7VykFFnBcInz6awkFJjboHNYYcA3wRF5xiO3QM3mVUWAhpyXCq7+KLzDxcSdeZIjNQwJ5RSKyG5vsX0UUWNBpSfDrr8ILLNTQ061RcssQQ17ReO66FvtXCQUWdloCPPur5AILPvsUi5TYJmSRVzzue6v9/lVAgYUelzff/iq4wCIlEHmJUtOBEPKKyWUPdd6/9BdY8HH58u6vcgssfhgxVlZuXgpJXilgwmfXMdPdmvoCCz8uT/79VeoBMXUygRSblzbGiaVeaFEC7llDeWkvsAjj8iPQX4UeEFMnE0ixeWVDPLLUF6gg4tnM5aW8wKLMy4dEfxV5QEwdTCil5pVcwMxSX7RyBAxpJC/dBRZnXu5E6qvIA2LqZEIpNS8P0wPz+mUhUcawBFHSKqfAIo3LnVB/lXdATB1MMIXm5SB1EjZSz6oQSfJSXGDR5uVKqr/KOyCmTiaUUvOykzoFa6kHVoY0eektsHjzciTWX8UdEFMnE0qpeZlLnYCb1FMrQaq8AhTY+29u3f76jfz59sUcmBO5/gp8QIyTV0fqZAIpNq9ZqSfvK+x08ssrgGR5CRbYh/vXftj877KqnT2SO+MhUQfmQrC/Ah0Qo+bVkTqZQIrNa1LqqYsIM5os8wojYV7iBXZVnT18/fr76uw7uXM+FXli9iT7K+gBMU5eHamTCaTYvMakHrigMAPKLK+AUuYlXWCrx1VzW+Oyuil3zidiT8yaaH+FPCDGyasjdTKBFJvXiNTzFhVmRFnlFVDavKQLrL3fvH53vv3/bjNd3luKPzJLsv0V8oAYJa+O1MkEUmxeg1JPW1qYKeWTV1CJ8wpVYLv/7zYjmViCkVkRrq8oB8SQeXWkjiaQYvMaknrY8sLMKZe8gkqel/hzYBfbB3vfnX889sIb38CSzMyCeH8FfU4lfF4dqaMJpNi8TqUedRBhRpVFXoGlz0u0wKrq+qe/P68f7F1djD/m6xlYmpmZk++vYAfEKHl1pI4mkGLzOpV61GGEmVUOeYWVQ16Sw/vp91/Ud4ibO85V7x5zT9kFFqC/Qr2vKE5eB6mjCaTYvE6knnQogcaVPK+w8shLenirn37/D3Vgd8bfuecXWLqxmQhRX0HfGBs8r47U4QRRcF5HUk86nDDzaiTMK7B0cfX2rwTD8wos3dhMhOmvxB9NJLWDpQ4niILzOpJ60gEFmZcxlQWWMK0Xmgss4dwMBOqvMg6IqcMJoeS8+lJPOqgA87KgsMBShvVCc4GlHNy8UP1VxAExdTghlJxXT+pBByY+Lyv6CixhVCf7l6oCSzi4ecHqq4wDYup45JWdV1fqSYcmPS872gosZVKn+xcFJiRgf5VwQEwdj7yy8+pKPenghOdlSVeBJQ1qYP/SVGBJZzcjZH8VcEBMHY+4wvPqSj3q8GTnZUtTgaXNaWj/UlRgaYc3KWh9FXBATJ2PtNLz6ko96whE52VNT4GlTWl4/9JTYGmnNyloe5VwQEwdkLDi8+pIPesYJOdlT0uBJQ5pZP9SU2CJxzchYHMVckBMnZCw4vPqSD3rKATn5UBHgSWOaHT/0lJgiec3IVRrlXNATJ2QrPLz6kg97Djk5uVCQ4ElDmhi/6LA/IToq8IOiD7j/VUqJzHl59WRetiRiM3LSf4Fljqfqf1LSYGlHuEY+bIq7oDoMNVfh4hn52IBeR2kHnY0QvNylHuBpU5nev/SUWCpZzhGtqfKPCBaDXSwuvJpsSXkdZB42PEIzctR3gWWOpu5/UtFgaUe4gjBiir3gGg8zZmeyqDFFpHXQaoxxyczL1c5F1jqZOY/LFtDgaUe4gipeir7gGg2S8NyStpiy8hrL/6AkxGZl7N8Cyx1LiYflq2gwFJPcZhIM5V/QDSapV0lJWqxZeS1F3O0qUnMy12uBZY6lfE9rrtKCsyNfytZCJODqcBff+NWRbE7bCF57UUaax4E5uUhywJLHYnxZ43mX2CpBznEr4+sBQrCUNAC82qheCW2lLx2wk80J/7z8pFhgaUOxOKzRrMvsNSTHOLRRU5CJWEm5Pe3eddPlA5bTF47QaeZH4Ghe8itwFKn8dbqs0ZzL7DUoxzg2EIegkVhJNzX3wg1T+iHExeT106gOWZLYuru8iqw1Fm8tfyotswLLPUsT7kUkK9wWZgIVmCCnRPwhR0LyqslPcHsiYzdWUYFljqIt/afdJN3gaWe5gmHo5mAgGEYCPT9bfJlE6TFFpRXS252WsjM3VU2BZY6hrcun3RDgVlwOZhJCBiGgTAFFuohP9kWW1ReWxlNPxahwTvKo8BSZ/DW8YMCsi6w1BPtczuYSQiZxrwQX0Aa+AgndBxdVl4tv3EP8YkgCqHBO0peYKnH33Ddv3IusNQz7XM9mgkIGsesAF9AGuWw5n0MXVZeLfcZ9wetqdSkJu8mZYGlnnzLY//KuMBST7XH+WAmIWwec+QLLOIBzP2gubS8tgJMdqbKMug3sdE7SVRgcUc8znP/yrfAUg+2y+NgJiFwIDPEv0E7/g1w+0Pj4vLash6ofyAZlJrc7F0ELbBwQxPhv39lW2CpR9vldTQTEDqRadJfQBq/v/bbNT0WLi+vls0kffOY3UCsKlOc1wjhAQUisn/lWmCph9vheTQTEDySScIFlqq/9lufPQwuMa8t8wmKBWIsVJVpzmuAwERiENu/Mi0w2Wn5XOO9j2YCwmcyRfYbtNP2134N49eHRea1ZTw68USsSLZYZnnVS3I+I5npBie7f+VZYBJzmnkYwuxq7z9sCRFCmSBaYMmPfnvDV4WF5tUwnFmwROx5t1huee3WZXseUgMNTGTvUlBg/pMaKyu7FhOat6POMmPEMsrhgDiVi3+4go6uCkLJBQjBQrgCy6y+Wu4tll9encWZ/rrkKAMS2rVO8sqxwDxHZXZtnr/aS47c3OC9xSi5jBEssCwPgN2rgkyGAUKwEOKN57sxxYjDiUOL5ZjX8Rqnf1N2hMEYH/Bc9q8MC8xrWHbX4ok7ZK4HLyeDrXXIM04uY+wPiBPj9go3pNHhOwiRgrkAbzx/m9+jh0OsWizLvAZXOvRLwpMLxfKIZ7j39aYXNpwhMzuYz7zsboL1fql/3fc5fBkzzi5SMCOsD4gTg/YJN6zxROyDDRKDMfH37dUU1FfLrMUyzSvalMIzPuKN/tRo/8quwDxG5tJep2fgetQy5XCQjJXMMKkCy/oQOJeSVcRBYjAm/b69t5rqqzXTYtnmFXtOYZgc+CZ3oJkT9qYXO66ZHcx9at711T0f8SpzqK3hwOKzPSCOz1UgnTAMkyszr8bkeNT119Zoi+WbV5pBCZrZiUz3oKMd7+j3etOLHdf0DuY8OKn6GhieNJsQc9vBTIwGJBBPEJY703yGYXIwJfu+PbX11TpktvuXnPNKOSlfszuPwX42uecN5pVXgbnO7leZnWxmgJFr6yBiOAMsD4ijCfnnE4TTvjQdcaAgDEm+7eGt9v7a6nRY3vtX6kE5mt9pzPeymT3vOK+sCsxxfAHrKw8x0zlld0Acjcg/oBDcApmrslBRGBEtsBLqa2vilmSAECzoLjCTHcVtJ5vY6brTi57X+A7mOMLS6yunHWzeWEb+CQUgmpLeAhsfUDn9VRu4s5zZ/pV6QjYMdwjRfexFzgXmNsby6yunHWzWWEj+Eckjr63RAZVVX9ts8n7IN/WM5hnvBCHqayCvfArMaZwyjx4GmbKgyAEd8S+wLI+D5NUanVBR/dUL6KjDwuRgSk2BWewBAdvrRaYF5jTSRdRXTjvYnLGUvEOSRl57YyPKMTZHgykdSixMDqY0FJjd9T9sfeVZYC5TXcKjh43oEfVYHBDHYvJPSRZ5HYzNKMPYHI0Hld1zlqlHNcD2yh+6vV5kWWAuk13I3a8Xig6IIzF5pySLvDrGhpRfbG5mw6LARjlc9SPUV44F5jLdxdSXngNiqJhEkVfPyJSyi82NtrxSz6vmccWP0V4v8iswpzEvqL8y2sGmDefkHZMk8uobGVMR/aUwLy0TGxSpvrIrMKdRC+xhMUYtI35GXcYHxOGcfGOSRF5HRuZUQn+pzEvFuIZFq6/cCsxl2gJPf8UZtYz4GXWZHhBHgvLMSQ55nRiZVE6pudGal4JhDYtYX5kVmMvE/fsr1qhlxM+oy6PAHHOaPE9H5DVgeFTq+0tvXrlPakTU+gjMWicAACAASURBVMqqwJymvrD6ymkHmzCclG00puecdeCi47fm95yl+v5SnVe2I5oSub7UF5jvDhZz1DLiZ9RldkAcTsoiFofzzzVwgaF78HrOUnV/6c8rm5GYi15f2gvMcweLO2oZ8TPqci4wm6QcN5Fn3n7z9uXznKXa/iokr3o1qadhI8rbvk70phc7Lt8C89vBYo9aRvyMuowOiMNRmcZiuhQlcXsMW4BXgansr3Ly2q0oyRispakv3QW2xP7KaAcbNRiVYSpWq9EQttucpXg8Z6mxv4rKq7Oo2EOwlqi9XqguMK8dLMmwJcTPqMvkgOgRlfV68s/aYciC3J+zVNdfxeV1vLJ4M7CU6s5Xoze92HF5FZjPDpZo2BLiZ9RlcEB0j8pxTXlH7XihhDg/5Kuqv8rMS/JSBZS0vhQX2EL7K6MdbMRgViapeCwr45w9LpUAnwIz3JlGU3T7fUsF5yV+0QJI3F4vVBdYNtf5qOJn1DV/QHSNyndluYbse7n8OD7k67Z72W1BQNl5hbh0stLXl94Cc+6vtOP2Fz+jrtkD4mBU81nJrC7HhGUumSu3e8zWj2+YLMXm/EwUn1egCyglh/Z6obbAnB9ATD1vb/Ez6nIrsNlU5BaYOp4TchfNhdM9Ztvdy2I9Fuc6ZRF5BbyQ/jKpL60F5tpfqactIH5GXXMHxMGs5lIRW92PjdQJ9YldOCcuNzjk33Vusk1zS8kr7OX0kU17vVBaYAvur4x2sCEOWQmt7Mee1CkdCF08R04FZrF7ua/MdAtHFpRX8IvqKKf60llgjv2VetQy4mfUNXNAHAxrOhW/9fw4LnVQLb/L58vhHrP57uW/PLPt7CwsrygX11Ze7fVCZYEtur8y2sFODYY1nYr7Uia6K6cOc7+AEuxvcIR70/m8HHbeABfLQtYF9uuv2dWXxgJz66/UcxYTP6Mu2wKbC8ttFQbdlU2LuV1CKdY3OCK8ac/SYvOKfMFnZNleLxQWmFN/pZ6yoPgZdU0eEAfTEj4KWnVXDi3mOmkZtnlFetOeoRT5RbpoI7IssF9zLa9ab3qx43IosKX3V0Y72LHBtAQPg47dlbjEvMbtzTKvmG/am5QuwAgXbkJuBfbrr1m31wt1Bbb4/spoBztmm5bVhn3bK1mJeQ7ck22BGexfAVebQ4IBL56BjAos/+5q9KYXOy6XAjM5VU/qCQuLn1HXxAHRNi2LrQq1V5IO85+5D7u8or5pby+vDOUvn408CkxJdzV604sdl3WB0V8Z7WBH7NIy3qJoeUU4AGrJy3H/EltZriGKXUAn8Qvs11Fxtu+rN73YcdkWmP0DiKnHKy9+Rl02B8SptAw353+Ui3z4U5OX2/7luApNMbpOWkakAhtvLU3d1ehNL3ZclgVGf73IaQfrGYzL60AY8KgX6uCnJy+3/ctki+FjC5uj5PTtBSiwgspqSG96seOyKzDr/ko92yDiZ9RlUWA+/aX04Kcmr7EdbHJ3mthMvLyCxxgmB1OyBVZsa3X0phc7LqsCo78a8TPqMr9FPxHX3EbUHvy05DW2g03uTiNbiBzWuOLy8roYRZbVkN70YsdlU2D011b8jLrMb9G79pfmg5+SvFx2sKEzTxLVtJLyclh8uXe0RvWmFzsuiwKjv1rxM+oyLjDH/lJ97FOSl8sOdnweCXOaV0heduteYHc1etOLHZdVgU3++ETquQYTP6Mu04ekxg+HE2ee+sAXpMMCBWFoIK+x/cu0v1KHZKSEvIyXvMDaOuhNL3Zc5gVGf+3Ez6jL9CEph/5KfczbKj4vlx3s8Nup4zGnPy+T1S66uxq96cWOy7jAbB9ATD3VgOJn1GX4kJR9f6U+3nUUndfoDja+M+1/N3UwtpTnNbNQuqvRm17suEwLjP46iJ9Rl+FDUmN5jZ1t6kPdkXLzctjBtr+YOhI3qvMaXyPdddCbXuy4zAts/GcDUs80qPgZdZk9JGV5Byz1YW5ImXmN7l8z/ZU6DXeK8xpcHt11pDe92HEZFphdf6WeaGDxM+oyKrDR4+HgWaY+xI0pMC+HHaz+tdRJ+FGb1/HKMuuuz1uJl9GbXuy4zArM7gHExPMMLn5GXUbPqRTRX42y8hrfwcZ+Uv9W6gz8Kc2rs6gU3XVcUEd//3zm77EKrje92HEZFRj91RM/oy6T51TK6a9aOXmN7TKTb3lIPX4ZKvNqFxSru2wLauTXYxdab3qx4zIssKnCOiI8nQzFz6jL4DmVsePh0NmlPrCZKSSv0f1rvL9ST16Owrzq1Uh210jDHP011D2mUOffm17suEx2MPqrL35GXQbPqRTXX7US8hrZZ8b7K/XQZanLS/iO19hdJKGzt1+PzNn0phc7LoMdzOoBRJmR5C1+Rl3zz6mY91fqI5od/XkN7zOj+1fqgYvTlpdne4W+S+VJanm96cWOa34Ho7+Oxc+oy/WAOHBWqY9n9krMa2wHe5F62CHoysv2mhb5MUFfiygw+qtvk/dH8UPqMDggDv3r6RmlPpa5cYgsXjZDHG8gviiyv4zyS5dVzaPAci+sQHrTix2XQYGZttdS+ivzAhs+IJ6eT+ojmTPrzOJlM2Q+r+E9KfWYg1GUl8HBoKDCcr0svenFjmtuBxPrL7frcnJD19H4GXU5HRBPzybyUUuUZYbxshnicAOxXnTqGQekJ6/RQ8L4wUEx14vTm17suGZ2MJsHECcuos/VOYHPp6+j8TPqcrrHfHIusQ5WYdjFGTGcAXM3EE/yatbsO6GPWmN/T0pNXoMHhnIaa0hZBSbyBJj3FToqg+to/Iy6XArs+DzCH6NCs4k0ZjqnLG8gbpdsPY+jgvrI8u+zhWf79xlK8ho+ONhc9xQzvqy96cWOa67APPvLeAcUHb0Pg9jiZ9Tl8JDv8VkYp5Iz80hjpnNqpsCGdyLbYZwUkuXpQ//9hI68FnCPa5zxhe9Nz2v2Pz+5devWnefugQn3l/H+N3+lDsbhOuqVUci8DF/BYRlLrgZjHPq7d0474nkdpbW/NEaXP5+HBE/N3sOb2tnzyWvRBVaLW2BPq617zoGZHA1N+8vpih8ihCGf+7xXwyejkHmdHhHL6a/BA+J4ir2/+ye1JZ7X0Q62v4KZjyPXAjs2sF4N+5f5MWHJetPzyOuyOnu4Xq/+el49cg1Mrr/cr+vS4506tLnxyChkXmb95X8wisLsISr7x+g9yOfVi+uwXtPxBBp9DLvbH4P55ZOX+zGiQKOHzd703PNaPW6Duqo+fuMY2PzR0Ki/vK/f4mM/KTCfs3TPKGheI5H1f1vg4BOE7XMoLdV5ddPqLDf0qHOwu/3Rfcg3w7x8jhLFGb3p35uee2Af7l/7of8H+8BE+kvmKu49Z+czmOWeUci8xiLr/bJMNrXZJzmmT+9YWCcU59V9hKOzWtsJaLa/0AEe8pXIS/a4UYKABbZ6LLqDWTyA2Ls0Ia7e8zMdeIzQM6kJ7hkFzGuswHq/65uI+cvOTP/uuyKTa4lAWGv5vDo7WHexk8NX/bDhkM4Fly4wibxEDxvF6k3PI7HL9tnKK7tnLYd3MMf+CnkNHxH/lUIeGQXLK3R/2d5Fcr5LZU9pXvu0emudG2j4ccaVd14yx4syHY65vek5hvXb643vq7ub/z47/+wX18A8+yvadTztS1sdMwqZ12hm3d+0mvrwPSb5dAWozGsXVn+pYxcx3+H7yjovoQNGkQ53HHrTc8vrw/2qy/shDqf+inQtT//eDLeMQubVOySK9peKo6bCvLZ72PFKRy+hkiBc5JyX0AGjWGIFtvrmq67f+b5KyuUFHMGu4btDaW9oKbllFDIv8f7SRlteTX+dLDT1FNPIOC+xQ0bRetPzD8/WwA6WZX99NHxtTyB+Rl0WBdb9NdNhB8sxLGV5DX/Pb+ohJpJvXlJHjLL1puc++P2rbjwC69w8TNZfBg9eJQyr5p5RmLxGb3QcTmg+epkQ41OVl2F/KY7DSrZ5yR0zkjOYu6ve9EzH/POf/nz0L5avFh0MzLW/JK/Nps++CE3fM7AM8hoN7XA688H755eKorx+HSyw4wukPA8bueYlethIwXr2LnrTM5jwy9s/rC+r6vj95avHZ9/5Bpauv1z3Vf/x+wWWPq/dMfE0nv3JDANQfrjUktcL8/5KMcYkMs1L+MARlfv8bfWmNz/gq+raDx/uV18/Pn57w+rJ2Z0/Nf7s8SRziv7yfb2bd9jugSXPS6i/Sni4SkVeL0b662gvWlR9/djPLp+8pI8ckfgGYKk3vdn5Nh/xdbm5ufHuvH+To/PSUZ+X+dq/gMPzqiv1cm2J5O0DS55X218TDyB6T1aN7PNqlmP0BNjC+quXXWZ5KSORgJ3e9Gbn2zy0e1HdPHmMt/PSUY+X+Vr3l/c1V/S2ptCVwDyw1HnN3wETm60CuedVr4YXIA7LNS9NxCKw0pueUWCbGxePnJ+knArM/gFEkeuuLLGrg0lgifOiv/oyz+vF2AOIqeeWgUzzUkM4BAu96c3Ot35u8t35Jqvju8wSgUXrr8AP8QteL2YCS5vXrr/GH0A0CCJgDvHlnZfhE2DLlGVeSgRIwVxvevMDrl9ws7nHvDp50nIT5v/d3FteWT1leVxgMforyocUiV4/xgNLm9fsHTCTJMLmEFvWec0+gOgex+C2ZUYaS455aRAoBmO96c0PePW0qm78sLnHfHKD4+V51bwix+6WyORX1Afor4gfsSd8RRkKLIO8/PorShAx5ZzXTH857hkmq5CccDD55ZW9gDEY603PPLeTj1i+qs7+9/YZTaGv55grMLfxxD1oil9jXli/TyV0XuMFNj2aIuvrR6nP1guS1+QTYC715XDBpMctKbe8Qhw9BAXOwVRvek7hNerXkzZPZFo+GOxSYGHHJ0z8euOeUYi8XPuruKe/9vLNa66/7C6nx4URn7mQzPISP3QICp+Dqd70pofbfM3NXv82x/blONd+EPyGX8n+Snu0FL3qmM82Ql7jr+BIOe+0ss1r8OrULtpyB7FYwRj5wXvTkFcGYiVhpje9ydlOfs1NvAJzmGEGD1fJXX2MRxsjr9E7YInHnVSueQ1dmxwunsXWzYgH4Cz/vIQYzEHgmuLB/KL0pjc52+17876sqk+/+vK8+rT//rz69aRNVlfHnwpmHphxf9nNIpcXu8lc9cx3sAh50V+DMs1r4MpkfdEsNu0gQBZ2cs/LT+rp2jC+UL3pzQ+4fUh3dXH8WZWX1cd/2wT26jzsizisg8ilvmoi10Kb6QbOa/QBxKkhZJNGQHnmNXBlsrtYdhfFS5hc5mWel7mhC2e8ithTH+JyPDR7I3Pzh9PnJp+2d6VvGo+p2aRDgVnNIZ/6qnldJ08DS5zX2B2wiQFkdHMipCzzOr0uWdycsNqqlKAZDcs6r1mSeSUYfo/D8dDwsxB7fzh49cUmrlsP7aZkWWD9kDRyuFaOB5Y2L/prXI55nR7ujOOw26iswEl5XdS4eU0Kk1Pk4ffYHw9NCmz0FocbuwLbB6WZ3fVyMrC0eY0U2MRFX0p9eRRYwLxOrkqG/SWxDl/BA3O7tHHzEjkkuIqXwJ71hTd4Duxi+5zk0EenOLEqsHq9CeYozvia6X9tjZzXmv5qZZjX0RXpcz311Qoemv3ljZjXoO43n8cSJYaG7fHQoMDq147e/uqLk28g/XD/xrcuw7ApsHq5xpc972OlaVvNBJZdXvTXXn559a9HRv3lssnAQudmt5p4eZ1obzCmFDoLk+Nkdz0mn8SxetI8NXn36A7z5iZIVd15bj0CiwKrV2t6wfN/rsW2twYDyy0vXn/YkV1e/evR5yrrqxUwNsuVRMurL3157QXMwuQw2V2K4UdJ/fb65JO/NlbPzqvq7GvLR4LtCsz0YuffX+4NZjffuHklf+VSVnLLq389ml2+/cLjCpSa/ULi5NVvr2zqqxUoDIPDZHcVHp+F2Hj/ZJOZ3V1n8wIz7y8N9VWLVWDR8qK/enLLy6q/BJcdTojUBJcnmVe3vLKrr50QeQgW2NRnf+38+4MqzEdJlddfP7pVmPlsY+dFfx3JLC+LArPYQmLioZlvOmpeCuqrJR2IWIFNfvbX1m/13eb905nvf//VrVu3vvp66pFg0wIz7y9VT7WELLDoeaUeZn7yyqu5+nz++eez/WW85EyIZma81Th5nbRX5vW1JZqIVIFNfvZX/fNnn9QP+u5uibx7sM/2xnfH53XYpFmBze5zaoUrsNh5pZ5kjrLKa1tfTYFNLtp4xRmRi8x4kzHy0llfDblEpo+R3W36fBbiqzqf23/pnLC68cfmvvW/PqiOT9zZpFGBldtfft9AmlNe4wFpukssLKu8tv31YmZnsltvRoQis9to2LyO20tRf9WEEpk+RnY36PFZiJv709cfdv/lovMhYBfjHwhmVGAl95d1g81mlCavqf6yL7DBbfsMOZWc8trX18TOZLXa/AgkZrW9oHmd1peu/moIJPLj5DGyuzGPz0L88L9Ov9Bt+C91SMP++4i/r/2neR99ZHCiDP29le7EsslrPKD6JTVW0xjbWpf/zKPJKK9Nf7XXodHVmgw/c76Bdc8rbV5tWIe9LPzwgvBNpGZ2PBT8LETBAjPsL+sjZUYCFliUvIT6K/5+EUE+ee2vQiZL1aykvDoHwvCDC8YrkYZQgRl/9tfmBI/2f5n4Urf5hxDnHrNvKXrx/IBQDyHGyWs8IZtQ7C5YS2j+AdldnpB57a5BIgvNXCF5dY6DduvKj3siDaGHEEc/++vEVXXWPga8enneCe/IbIGZ95fnhNIKVWAR8ppKKM7XTUmFEITdRQmZ13SB2a0zf/rz6h0H7ZaVJddEtoQKbOyzv05d1ie7detW/b/xWydzBTZ5m/FAe385foV2DnkZ3sKYZHmZBomkEIDlxQiY16L6q6Y8r7Lqq+GxH40dIbtn7/VZiKcnq98HsXH9HyfeuTdTYIvpL7ev0M4gL8OEJthfoFFSWUiyvxSh8pooMPtF6qA6r/L6a+21i4oVmKTpAjM9OhbQX05foR3fUV4Tx0RD0gsUi0OK9AW0c1pg+a0xKMV5ldhfa589VKbA3n+zuR/8O/svChg2WWD+h0dVwhRYyLx2a3K+yEKr6hOMRIDt6sPlNRaV0KZypTavIuur5rwvSRTYZfuCxdOHcVeTn2o5YqrAFtZfDl+hnTav/ZJcL6/lRbEimYsXy3WHzst7gQopzavU/lo7750CBXZVVZ/9sv7t++r4hTTtk5nV8KdajpoosMX1l/1XaKfNa6rA8vi2X/mE7NmtOHRensvTSmVe5fbX2nXX9C6w/fsdLo8/DeWiqm581Tj5VMspE5+tt7z+sv4K7bR5TfbXXIFZXQwvIXKyYLXW4Hl5rU4zhXkVXF81p73Jt8BGPzql90Y9C+OfrbfIArP8Cu20eY1HlFN/bQUJy4jVMkPn5bU45dTlVXZ/rZ12ymAFdvx3U2MFZtZfRbz6sC9SgUnk5d5fLlv2FyawOVZLDJyX19rU05bXAtjvTp4Ftr9hcfxpKKvHogW2X97khSnh7V8nRAssaF5jEc3F4rJdKaFSE7q0gfPKJ4c0dOW1CNb7k1+BrS+ra/UrRt/fP37ZzdXMh4GNGC6wBfeX1Vdop81LYX/VQuUmcnGD5pVXDimoymshLPcnzwLb3OSort/6pPfZX6uf/rTxpLrzp8afvV/Esej+svkK7bR5jRbY1IWzW34gwaLzvsAh88owiPgU5bUYdjuUX4GtV8/Oq/qbsjup1B9o2eH9MvrD4qYuR7H9ZfEV2mnzmr+NccJy8eGECU7gIgfMK88kYtOT14JY7VF+BVZ73f/r6puvunxfRm/WXyW+gGNPsMAC5mVfYA5rDydQdgKXOVBeuQYRmZq8lsRmj/ItsNVPVneKp418OKzDjfuiSBZYsLx099c6UoVZrypYXvkGEZmSvJbFYpfyLLDBV4geUnz1B597YN2luR0wyiBYYMHyss3IeuURhMrP41IHyyvrIOJSkdfCWOxTAQps9A0RM4Y/3Xzx/WX4DaRp87LLyHrdkQRL0PVyB8sr9yRi0pDX4hjvU9IF9tevvvry/OzT5hHfL31exNE7UnsdNvQLWGBCeR1nNPmspPWyIwqao/VqguWlIImI8s9reYx3KuECe3fefdXNXZslD344LP1VC1dgYnn11jv5slDrVccVMEbrtQTLS0MQEWWf1wIZ71XCDyH+9Kd/PT/7Y/Ouh79YfXvAeIGNr73klx/2hHsIUSqv7mo191ctVIrWCwmWl5Ig4sk8r0Uy3Kt8CmzwVTerb6xeLXrYpHWBFfz+r2MyBRYur+5ap2Jx2VACYUK0XkawvPQkEUveeS2T4W7lUWCixgpsdOEL6q/5L3CLb+yNsQX0Vy1AhmkvUD+vdOvIVc55LZThfuVYYL+9fj32RaPbH/30r//T+wsSeQCx5V9gIfPqLLSQ/loHqDC7zYfMCwPIKztm+5VbgfU+JeXG8+5PHsh9w+/kHTDXA4lKvgUWNK/OOovpr5pshFabDpoXhpBXfox2LKcCW33zZVXd/uqLqjr7r59UZ98dfnJRVZ9U1fXNDx7aLHW4wEYXvagHEGueBRY0L5P1W602G5IJWm04aF4YRF75Mdmx3B5CfHfefOxy81Xa3a/Rrr8YZ/X47LsPJ98rMM2uwBbXXzNf4JY2L4PV2y02J2IB2m02ZF4YQV7ZMdmznO6BPW5vZdTBteE1mteSXlSPTr7ZbcZggY0ueXn95VlgQfOaX7zVWnMjFKDVNoPmhTHklR2DPcvtObDOJ6R03wDR/Plyc2vD76OJpvtrkTyfAwuY1+zSrZaaIZH8rLYYNC+MIq/8zO9aTgW2v8XRD6z5Cu2rzX1oCkyaX4EFzKtZ3fidYquFZkogPqvtBc0L48grP7O7lstzYBfbe8Sri002vXvHF9XD9n60b4EJHDSK4vUcWMi86sWNPytpt85secdnt7mQeWEKeWXH6NDY/QWD4X24X519+tWX51V9g6P7/GQT1EV1VnWeyTRAgc3zKbCQef24gP5ae1eY3cZC5oVJ5JUdk0Nj9/Qmw3v/pHlzw503m+zudJ+efP8PP9SvvanuWH2EymmBeR4vSuRRYCHzWkZ/rT0rzHJbAfPCNPLKjsGRsXtyw+G9/un16M9Wlis0/Ip6wZcfDq1C7MwD8Siwdbi8ltJfa68riP3GQuWFGeSVnfkjY/fUOXwW4uAyvd//ZbIUvy0E5Vdgkrp5Lae/1h7XjrTL5oBog7yyM3tk7J7YaHjvv7l169bvnp/+4OcnIz+YYvQV9Z79ZbMen+0E5FFg4fJaUn+tna8atpsJlxdmkVd25o6M3dOaDO+y/YSvk/eXPx37wSTDAnM8eDhcH2vuWwvGucAC5jW2VssV6uGUnOU2AuaFeeSVnZkDY/ekBsO7qqrPfln/9n1VPer/4HL7oV8vz49/MG3qK+p3nPvLZiEnHLcZiGuBhcxrZKl2C9TFITm7DYTMCwbIKzvm+5fJR0m1tyguj14dWn/2V/MHr4+SGlyh6wOIFqsY5bThINwKLGhewwu1Wp8+1sFZnXvQvCCOvGIw3r8sP0rK6Acz5gvMsb8s1jDHZfPyHD+JI2Beg8u0Wp5KlrlZnXfQvCCOvKIw3b88Cqz56JShH8wY/Yr6Paf+sliBGYc1CJMtMIm8BpdptTyd7HKzOuugeUEcecVhuH8ZPYQ4cs94dx/6MujXcwQ4ZhgTW54jx4cQ4+ZltTq1bGKzOuOgeUEceUVitn8ZDO+yula/MPT9ydfc/Pasuv3t65+eVHcHv197TIACM920A6EVOnJ5EUfkvOwWp5h5anbnGzIvyCOvSIz2L4Ph1R+Ocv3WJ9XxDY7ed2tbfI22eIEZbtedyCqduBRY3Lzs1qaacWp2ZxsyL8gjr1hM9i+T4a2enW8COfv66KU1q2++6vqd6StvhAvMcKueBBbqxOV9YDHzslyacoahWZ5rwLwQAHnFYrB/mQ5v/KO/rIkWmNyyZnmv1YnjR0lFyktuKzqYZeZwxoHyQiDkFcX8/pX4sxCPl2b5+sPYS7danIy8PgsxdQDpmWSWdoUcEHUhrwmz+5fF8CxfHTpq4oBo9wYwicVYs1ifDOcCi5CXxNlrYxCZ2xmHyAvhkFcMc/tXVgWmoL9OFx1cvgUmce4KzSbmdrYcEHUhryhm9q/MCsz8sC6xEmfmyxSQbYFJnLlKc4m5nSsHRF3IK47p/SunArPoL4l1eDFeqYBMC0zivJWaCcztTDkg6kJekUzuX44Ftnp2/CJSc2MHRIsHEF03Lcl0rQLcFhg4L9ezK4OSvBAOecUytX85Flj95w9f3Ha6BTJyQDTvL5eNhmC4XH9uywucl9uiyqEiL4RDXrFM7V/OBXb2netd6NECC3k0D8Nsxd7cFhc2L7c1lURDXgiHvKKZ2L+mh9d7c/mX5527zI+r6pP6E1W2rG56+L2R2WJDMdhfAAfGq4mXl8Xvlyv/vCCKvBIZ37+mhzf+8V7vHjh97lezSZ8Cs9hOJNYXwZ7xWqLlZfHrJcs+L4gir1RG96+Ze2A//anrz70nKoUfQpQ9lMdkeyGsGa8kVl4uZ1OmzPOCKPJKZXT/8hje6hvjz6vscS8w97UG5lBK8S+3XF4y6ylD3nkhHvIKaWz/yuGzEDW+fOOYRz3lfsEpsGk554X8kZeRkf3Lb3jvv7l169bvntv90vEB0fT1814rDc+3pWJccpG8cg8iuozzQlTkFdDw/uU1vMv2OUurb9A+PiAW0l/rgBUmtUCRvBQEEVu+eSEm8gppeP/yGd5VVX32y/q376vqkc2vnRRYzGN4WEKFFejCy+QltJiiZJsXIiKvsAb3L58XcTxub2pcVjdtfq9/QCypv0I1mMzaZPKSWUtxMs0L8ZBXaEP7l8fw9i8btXz9aO+AaPYAovsio5MuL7mLL5KXzFIKlGdeiIe8qNHrgwAAEDtJREFUghvYvxIXWHH9tQ5RYTLrYgcLirwWjrzCEy2wzV3m7WO9V9XHNm+A6BdYcf0VoMFkliWRF8aR17KRV3iiBba+rK7Vrxh9f9/uZTe2b2T2WGEqWRaYRF6YQl6LRl7hiRZY/QmW1299Utnd4LAtMI8FppNlgQnkhUnktWTkFYFkga1Xz86rqjqz/C43uwLzWV9KGRaYQF6YRl5LRl4RSBZY7bX1b1gVmO/y0smwwGp+eWEGeS0ceQUmXWD2bAos/uoEZVlg9tjBbJAX7JCXHU0FFn9xoiiwBSIvWCEvSxRYNBTYApEXbJCXj6wLLP7axFFgy0NesEBePnIusPhLC4ACQ1zkpQt5+ci4wOKvLAwKDDGRly7k5SPfAou/sFAoMEREXrqQl49sCyz+ugKiwBANeelCXj5yLbD4ywqKAkMs5KULefnItMDiryowCgyRkJcu5OUjzwKLv6jwKDBEQV66kJePLAss/ppioMAQA3npQl4+ciyw+EuKgwJDBOSlC3n5oMAiosAQHnnpQl4+Miyw+CuKhwJDaOSlC3n5yK/A4i8oJgoMgZGXLuTlgwKLjAJDWOSlC3n5yK7A4q8nMgoMQZGXLuTlI7cCi7+c+CgwBEReupCXj8wKLP5qUqDAEA556UJePiiwFCgwBENeupCXj7wKLP5iEqHAEAp56UJePrIqsPhrSYcCQxjkpQt5+aDAUqHAEAR56UJePnIqsPhLSYoCQwjkpQt5+ciowOKvJDEKDAGQly7k5SOfAou/kOQoMMgjL13IywcFlhIFBnHkpQt5+cimwOKvIwcUGKSRly7k5SOXAou/jDxQYBBGXrqQlw8KLDEKDLLISxfy8pFJgcVfRTYoMIgiL13Iy0ceBRZ/ERmhwCCJvHQhLx9ZFFj8NWSFAoMg8tKFvHxQYBmgwCCHvHQhLx85FFj8JeSGAoMY8tKFvHxkUGDxV5AhCgxCyEsX8vKRvsDiLyBLFBhkkJcu5OWDAssFBQYR5KULeflIXmDxt58rCgwSyEsX8vKRusDibz5fFBgEkJcu5OUjcYGhiwKDP/LShbx8UGA5ocDgjbx0IS8fFFhWKDD4Ii9dyMsHBZYXCgyeyEsX8vJBgWWGAoMf8tKFvHxQYLmhwOCFvHQhLx8UWHYoMPggL13IywcFlh8KDB7ISxfy8kGBZYgCgzvy0oW8fFBgOaLA4Iy8dCEvHxRYligwuCIvXcjLBwWWJwoMjshLF/LyQYFligKDG/LShbx8UGC5osDghLx0IS8fFFi2KDC4IC9dyMsHBZYtCgwuyEsX8vJBgeWLAoMD8tKFvHxQYBmjwGCPvHQhLx8UWM4oMFgjL13IywcFljUKDLbISxfy8kGB5Y0CgyXy0oW8fFBgmaPAYIe8dCEvHwGG9/6bW7e/fjOxSQKzEbzAyEsX8tKFvEISHN6H+9d+2PzvsqqdPRrfJIFZCVVg5KULeelCXjGIF9hVdfbw9evvq7PvRjdJYHaCFhh5aUFeupBXDNIFtnpcNbc1Lqubo5sksCyQly7kpQt5xSBdYO395vW78+3/hzZJYFkgL13ISxfyiiFUge3+P7RJAssCeelCXrqQVwziz4FdbB/sfXf+8dgLbwgsD+SlC3npQl4xiBZYVV3/9Pfn9YO9q4v+Y75Vj9w24Y68dCEvXcgrBsnh/fT7L+o4mjvOVf8eM4FliLx0IS9dyCsC6eGtfvr9P9SB3Zl45x7yQV66kJcu5BUY7Q8AUClAga1++jM3NxQhL13ISxfyCilAgU28YhQZIi9dyEsX8gqJAls88tKFvHQhr5AosMUjL13ISxfyCokCWzzy0oW8dCGvkCiwxSMvXchLF/IKiVchLh556UJeupBXSLwPDACgEgUGAFCJAgMAqESBAQBUosAAACpRYAAAlSgwAIBKFBgAQCUKDACgEgUGAFCJAgMAqESBAQBUosAAACpRYAAAlSgwAIBKFBgAQCUKDACgEgUGAFCJAgMAqESBAQBUosAAACpRYAAAlSgwAIBKFBgAQCUKDACgEgUGAFCJAgMAqESBAQBUosAAACpRYAAAlSgwAIBKFBgAQCUKDACgEgUGAFCJAgMAqESBAQBUosAAACpRYAAAlSgwAIBKFBgAQCUKDACgEgUGAFCJAgMAqESBAQBUosAAACpRYAAAlSgwAIBKFBgAQCUKDACgEgUGAFCJAgMAqESBAQBUosAAACpRYAAAlSgwAIBKFBgAQCUKDACgEgUGAFCJAgMAqESBAQBUosAAACpRYAAAlSgwAIBKFBgAQCUKDACgEgUGAFCJAgMAqESBAQBUosAAACpRYAAAlSgwAIBKFBgAQCUKDACgEgUGAFCJAgMAqESBAQBUosAAACpRYAAAlSgwAIBKFBgAQCUKDACgEgUGAFCJAgMAqESBAQBUosAAACpRYAAAlSgwAIBKFBgAQCUKDACgEgUGAFCJAgMAqESBAQBUosAAACpRYAAAlSgwAIBKFBgAQCUKDACgEgUGAFCJAgMAqESBAQBUosAAACpRYAAAlSgwAIBKFBgAQCUKDACgEgUGAFCJAgMAqESBAQBUosAAACpRYAAAlSgwAIBKFBgAQCUKDACgEgUGAFCJAgMAqESBAQBUosAAACpRYAAAlSgwAIBKFBgAQCUKDACgEgUGAFCJAgMAqJS6wCqMShzNoNQzyVnqbIaknknOUmczJPVMcjY8sMgBHW0dE5JGMyj1RPKWOp1TqSeSt9TpnEo9kbwNjyxyREdbt9y85enDnjyz1cSge0J5rSYG3RPKazUx6J5QktVQYM4nz2w1MeieUF6riUH3hPJaTQy6J0SBSZ++xMCS0j2hvFYTg+4J5bWaGHRPiAKTPn2JgSWle0J5rSYG3RPKazUx6J4QBSZ9+hIDS0r3hPJaTQy6J5TXamLQPSEKTPr0JQaWlO4J5bWaGHRPKK/VxKB7QhSY9OlLDCwp3RPKazUx6J5QXquJQfeEKDDp05cYWFK6J5TXamLQPaG8VhOD7glRYNKnLzGwpHRPKK/VxKB7QnmtJgbdE6LApE9fYmBJ6Z5QXquJQfeE8lpNDLonRIFJn77EwJLSPaG8VhOD7gnltZoYdE+IApM+fYmBJaV7QnmtJgbdE8prNTHontACCwwAAEcUGABAJQoMAKASBQYAUIkCAwCoRIEBAFSiwAAAKlFgAACVKDAAgEoUGABAJQoMAKASBQYAUIkCAwColLLAXj2oqhvfGp/8qmqcfWdy4strP9hsZHdyk2389vS8qq4/ND377skNzn71bHPy289tFh8LeQ0gL/ISQl4D5vJKWGCX29Xfszy9UWAvqzYBs40cn3xqG+/vb09z0+zsh04+cfarx9uTPDJffCzkNYC8yEsIeQ2YzStdgb07rx7WozK7BbFxYXzK1fdVm4DRRg4nN9nGRXX3l81ZntczNTj77skNzv6quvG8XlC9HusJBUVeQ8iLvGSQ15DZvNIV2OW2SS9Nb3KsHu/uBc9596C68WB7YpONdE5usI0P9z9+sz3LmyZn3zv5/NmvHm/TaZK1nVBY5DWAvMhLCHkNmM8rWYHtlvbufHuJZn24f9PwrC/Ovv6P7WiMNnI4ucU2Nmd50+Yy1Cc3P/vmjK0nFBR5TSAv8vJEXhMm8kpYYLsZGd6QuKruPj2vzr6ej/f1m925G23kcHKLbTS3AywuQ3OzwfTsV0+7t0+MJxQUeY0jL/LyRV7jpvJKVmC7+5LG94TbZ/Aqoxso7bmabmT3c/NtvDvf/Ib5ZWhObnj2786r6rM3DhMKirzGT0te5OWLvMZPO5WXngK7qO48X69fnRs9RuwYmPE23jVPQhpfhnftc5ZGZ//u1q2quvNG+w5GXkmR1+iJyaugvPQUWMvsMWLHwEy38bJ5PYzx2bcnNz779epic59Z+Q7WIq80yGtqPeRVSl56ngM7+j2jU5lu5OhMZ7axelqdPeqebvrs9yc3PPvdOSp/jP7o94xORV5iyGsKeZWSl55XIe5/zyows41YBbZ6XL83YW169oeTm539/iTKXyW1/z3ySoG85hZEXqZnmnNeat4HtuvdK6NnLQ/PQhptZH8P22AbmwDu7n5qcPadkxuc/e4kTUiq36dCXomR1wDyKi0vPZ/EcdEUd/sW7jm7wAw3cnjScn4b3fkZnH335AZnvz3J9nlN3Z8UQF5pkdcQ8iosLz2fhfjhgcXp9/dKzTayf3h1fhsf2s/y2r74c/bseyc3OPvdZ3/dfGO8+FjIa3Al5EVeIshrcCUzeSn6NPpV/THGhqc/PKxqtJH9yee3cVV1A5s9+/7JDS5C8+nL5p/tHBN5DS2FvMhLBnkNLWUmL74PDACgEgUGAFCJAgMAqESBAQBUosAAACpRYAAAlYorsPdPzqvq7M7zo3/evjD0/YOquvmyfR3nWf3d1uOar1wb28gf1vUrQjN5A4lq5KULeelSel6lFdjuK2aOh9kE1rwr7ubhrQiTH8E1Edj2R+xgAshLF/LSpfi8Ciuwd+fNd5+tnp0ffZpJE9iH+9e+Owz6/eNq6hutZwODP/LShbx0KT+vwgpsfyvg+PMk28Dqt3/vTzP9qf+ZBlYW8tKFvHQpP69SC6xVf/ZI8zkkdWCX27vJ+9M0IV5e+38Pqmv1Z0p+sv/IkvdfVNXdf69TuWhuuGwDqj/35Oyf1u3d8nu7bR1+7+LsX57k9NE0CpCXLuSlS/l5FVZg787PHnY+mr99BPjucGDNDZDLa/+j/lyu3YdG1jdJNve7Nz49Cqw9xb1+YN3fu2ifDM3iw611IC9dyEuX8vMqrMDWV/Vrbj794za0q+rGX5qX2jwausv884Pt9JsBb/73bfux/dtvrHl5XvUDu6w/2P9d81hy50nLzu9tAtv8eTX9SDL6yEsX8tKl+LxKK7D16tknde03X/q5Hfcmp5v9wHZu/LB7cLj7bZ/tN35e9gNrT3G5/WKaXWC9bwm9aM7qih3MBnnpQl66lJ5XcQVW+3kT2maQu7uz27vEJ4Fd/3qbS/1tatufbO9ZtxN/17/LvDvF/kdNYN3f6z1ADAvkpQt56VJyXkUW2Hp7e+Hw5WnXfhh61U17wn5gZ9+1P7cMbHNCdjB35KULeelSbF5lFdjhhaD1JA/f4jb8stGGtlscRSEvXchLlwXkVVaBrS+q9rs72wdhH+1+MBPY6GO+zU/rP7anaOIYe8yXHcwWeelCXrqUn1dhBXZVVfUneq1endeTvqrONvmtvq9uzgV29OqZm2/qPzYvtfn48Mcbz+t3qz+qM/m73fn0fo8dzBZ56UJeupSfV2EFdvjsr7v1357uHvKdDWzkfQ+dP7an2J1g6H0P7GDWyEsX8tKl+LxKK7D1+yf1y0Zvt2//rt8Wfnb3zexd5nX/nedPNoFvB//uQXX2T513nt9tHuL9a30bZOCd5+xg1shLF/LSpfS8iiswAMAyUGAAAJUoMACAShQYAEAlCgwAoBIFBgBQiQIDAKhEgQEAVKLAAAAqUWAAAJUoMACAShQYAEAlCgwAoBIFBgBQiQIDAKj0/wHuVKMqklx2MgAAAABJRU5ErkJggg==" width="864" /></p>
<pre class="r"><code>plot_L2_profic(gam_l2prof_prod, primed_cond = &#39;Manner&#39;, show_xaxis = &#39;SelfProduction&#39;,
               ylim1 = c(-9, 8))</code></pre>
<p><img 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" width="864" /></p>
<p>Plot differences between conditions</p>
<pre class="r"><code># Plot differences between conditions (model estimates):
plot_L2_profic_diff(gam_l2prof_prod, primed_cond = &quot;Path&quot;, show_xaxis = &#39;SelfProduction&#39;,
                    ylim1 = c(-2.5, 11))</code></pre>
<p><img 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" width="864" /></p>
<pre class="r"><code>plot_L2_profic_diff(gam_l2prof_prod, primed_cond = &quot;Manner&quot;, show_xaxis = &#39;SelfProduction&#39;,
                    ylim1 = c(-2.5, 11))</code></pre>
<p><img 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" width="864" /></p>
</div>
</div>
</div>
<div id="session-info" class="section level1">
<h1><span class="header-section-number">6</span> Session info</h1>
<pre class="r"><code>sessionInfo()</code></pre>
<pre><code>## R version 3.5.2 (2018-12-20)
## Platform: x86_64-w64-mingw32/x64 (64-bit)
## Running under: Windows 10 x64 (build 16299)
## 
## Matrix products: default
## 
## locale:
## [1] LC_COLLATE=English_United States.1252 
## [2] LC_CTYPE=English_United States.1252   
## [3] LC_MONETARY=English_United States.1252
## [4] LC_NUMERIC=C                          
## [5] LC_TIME=English_United States.1252    
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] knitr_1.21        arm_1.10-1        MASS_7.3-51.1    
##  [4] GGally_1.4.0      ggplot2_3.1.0     lme4_1.1-20      
##  [7] Matrix_1.2-15     itsadug_2.3       plotfunctions_1.3
## [10] mgcv_1.8-26       nlme_3.1-137      tidyr_0.8.3      
## [13] dplyr_0.8.0.1    
## 
## loaded via a namespace (and not attached):
##  [1] tidyselect_0.2.5   xfun_0.5           purrr_0.3.0       
##  [4] reshape2_1.4.3     splines_3.5.2      lattice_0.20-38   
##  [7] colorspace_1.4-0   htmltools_0.3.6    yaml_2.2.0        
## [10] utf8_1.1.4         rlang_0.3.1        nloptr_1.2.1      
## [13] pillar_1.3.1       glue_1.3.0         withr_2.1.2       
## [16] RColorBrewer_1.1-2 plyr_1.8.4         stringr_1.4.0     
## [19] munsell_0.5.0      gtable_0.2.0       coda_0.19-2       
## [22] evaluate_0.13      labeling_0.3       fansi_0.4.0       
## [25] highr_0.7          Rcpp_1.0.0         xtable_1.8-4      
## [28] scales_1.0.0       abind_1.4-5        digest_0.6.18     
## [31] stringi_1.3.1      grid_3.5.2         cli_1.0.1         
## [34] tools_3.5.2        magrittr_1.5       lazyeval_0.2.1    
## [37] tibble_2.0.1       crayon_1.3.4       pkgconfig_2.0.2   
## [40] assertthat_0.2.0   minqa_1.2.4        rmarkdown_1.11    
## [43] reshape_0.8.8      R6_2.4.0           compiler_3.5.2</code></pre>
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